mobile-pii-discovery-agent/model_PII_results/GPT-3.5-turbo/PII_A2_main_20260208T003550Z.jsonl

{"db_path": "selectedDBs\\A2_main.db", "PII_type": "EMAIL", "PII": [], "Num_of_PII": 0, "source_columns": [], "Raw_rows_first_100": [], "Total_raw_rows": 0, "Exploration_sql": "Based on the schema of the tables, the following columns may contain possible email addresses:\n- Contact table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend 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phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- 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table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table: phone\n- Friend table:", "Extraction_sql": null, "PII_Prompt": "a unique identifier for a destination to which electronic mail (email) can be sent and received over the internet; examples include jane.doe@example.com, john.smith@provider.net, dev-team@startup.io, and user.name+label@domain.org"}
{"db_path": "selectedDBs\\A2_main.db", "PII_type": "PHONE", "PII": ["2026593724", "8624338328", "19199037779", "8085096467", "5713298742", "2028177932", "2025692832", "5713349815", "5715917168", "16106046786", "16263678865", "18056377243", "81367430271", "17423794330"], "Num_of_PII": 14, "source_columns": ["Contact.rawPhone"], "Raw_rows_first_100": [["+12065937224"], ["8624338328"], ["+1 (919) 903-7779"], ["8085096467"], ["5713298742"], ["2028177932"], ["2025692832"], ["5713349815"], ["5715917168"], ["+16106046786"], ["+1 (626) 367-8865"], ["+18056377243"], ["+81367430271"], ["+17423794330"]], "Total_raw_rows": 14, "Exploration_sql": "Based on the schema of the tables in the database, the following tables and columns have the potential to contain US phone numbers:\n\n1. Table: Contact\n   - Columns: phone, rawPhone\n\n2. Table: Snap\n   - Columns: captionTextDisplay\n\nTo search for US phone numbers in these tables, you can use the following SQL query:\n\n```sql\nSELECT phone FROM Contact WHERE phone REGEXP '\\+?[0-9]{1,4}[- .]?\\(?[0-9]{1,3}?\\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'\nUNION ALL\nSELECT rawPhone FROM Contact WHERE rawPhone REGEXP '\\+?[0-9]{1,4}[- .]?\\(?[0-9]{1,3}?\\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'\nUNION ALL\nSELECT captionTextDisplay FROM Snap WHERE captionTextDisplay REGEXP '\\+?[0-9]{1,4}[- .]?\\(?[0-9]{1,3}?\\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'\n```\n\nThis query will search for US phone numbers in the specified columns of the Contact and Snap tables.", "Extraction_sql": "Based on the schema of the tables in the database, the following tables and columns have the potential to contain US phone numbers:\n1. Table: Contact - Columns: phone, rawPhone\n2. Table: Snap - Columns: captionTextDisplay\nTo search for US phone numbers in these tables, you can use the following SQL query:\n```sql\nSELECT phone FROM Contact WHERE phone REGEXP '\\+?[0-9]{1,4}[- .]?\\(?[0-9]{1,3}?\\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'\nUNION ALL\nSELECT rawPhone FROM Contact WHERE rawPhone REGEXP '\\+?[0-9]{1,4}[- .]?\\(?[0-9]{1,3}?\\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'\nUNION ALL\nSELECT captionTextDisplay FROM Snap WHERE captionTextDisplay REGEXP '\\+?[0-9]{1,4}[- .]?\\(?[0-9]{1,3}?\\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'\n```\nThis query will search for US phone numbers in the specified columns of the Contact and Snap tables.", "PII_Prompt": "a US phone number is a 10-digit NANP number (area code + exchange + line) that may be written as 2023133725, 202-313-3725, (202) 313-3725, 202.313.3725, +1 202 313 3725, or 1-202-313-3725"}
{"db_path": "selectedDBs\\A2_main.db", "PII_type": "USERNAME", "PII": [], "Num_of_PII": 0, "source_columns": [], "Raw_rows_first_100": [], "Total_raw_rows": 0, "Exploration_sql": "Based on the schema of the tables in the database, the following tables and columns have the potential to contain usernames:\n1. Table: CombinedUsername\n   - Columns: originalUsername, mutableUsername, encodedUsername\n\n2. Table: Friend\n   - Columns: username\n\n3. Table: Snap\n   - Columns: username\n\n4. Table: StorySnap\n   - Columns: username\n\n5. Table: SuggestedFriend\n   - Columns: userId\n\nTo search for possible usernames in these tables, you can use the following SQL query:\n```sql\nSELECT originalUsername FROM CombinedUsername WHERE originalUsername REGEXP '\\\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\\\b'\nUNION ALL\nSELECT mutableUsername FROM CombinedUsername WHERE mutableUsername REGEXP '\\\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\\\b'\nUNION ALL\nSELECT encodedUsername FROM CombinedUsername WHERE encodedUsername REGEXP '\\\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\\\b'\nUNION ALL\nSELECT username FROM Friend WHERE username REGEXP '\\\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\\\b'\nUNION ALL\nSELECT username FROM Snap WHERE username REGEXP '\\\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\\\b'\nUNION ALL\nSELECT username FROM StorySnap WHERE username REGEXP '\\\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\\\b'\nUNION ALL\nSELECT userId FROM SuggestedFriend WHERE userId REGEXP '\\\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\\\b'", "Extraction_sql": null, "PII_Prompt": "a username is a short textual identifier chosen by a user to represent their account or public handle within an application or service it is stored as plain text contains no whitespace does not include a domain component and is intended for human recognition rather than internal system uniqueness"}
{"db_path": "selectedDBs\\A2_main.db", "PII_type": "PERSON_NAME", "PII": [], "Num_of_PII": 0, "source_columns": ["Contact.phone", "Friend.displayName", "Friend.phone"], "Raw_rows_first_100": [["Team Snapchat"], ["Sharon Oneil"], ["Hank"], ["Kareeme🏀"], ["SaRabii❤️‍🔥"], ["Ky"], ["Jehiel"], ["jayde😘 ❤️🇺🇸MAGA"], ["em pedro"], ["Kookie🍪💙"], ["antoinette 😍"], ["Chris shupe"], ["Ty💕"], ["Xander Burgin"], ["Tiara"], ["Gabe Ippo"], ["Otto"], ["tasteofkace"], ["Ti Ti ❤️"], ["Arjun Gupta"], ["TERI👑"], ["Aksh_Radadiya"], ["Izrael Vazquez"], ["steven 🦕"], ["sam"], ["Maria Gomez"], ["Lotto Lotto"], ["lyrix"], ["Brylee"], ["Max"], ["MRS PERFECT🥶🎀🩷"], ["Taut😝"], ["Russ Philby"], ["Karen Tate"], ["Caydence"], ["Bundy"], ["Scott Muhlstein"], ["Pete The Great"], ["40dawg"], ["R. S. V. P. D. M. P. L L. C. D"], ["Abdulrahim"], ["Ian WhiffinCB"], ["Tori Morales"], ["Dub🖤🦍"], ["BRRAN"], ["Cindy Basore"], ["Six Dot"], ["Shay 💛"], ["Big Jefe"], ["Lu"], ["Abe Rudder"], ["Sherie"], ["Vondo NBA"], ["Di’Ãndre🖤"], ["Stephanie Stauffer"], ["Bossman MLT"], ["Keria Dixson"], ["Lulu Bands"], ["Deerica Dewberry"], ["Chavo!"], ["Rx ❤️‍🔥"], ["Syndo🖤"], ["Ro 🦧"], ["Ivan H"], ["Dan Muritz"], ["Miyoshi"], ["Cici🚰 Trap"], ["Eileen Kline"], ["boss migi"], ["My AI"], ["Your Favorite😝"], ["Devyn:)"], ["Hana🍀"], ["SomSom"], ["DeedeeJr"], ["Layla Solberg"], ["thaya😙"], ["carlie👼🏼"], ["Kyra Huiras"], ["Wj Neco🃏🚀"], ["chris"], ["Alexandra 🦖"], ["key💚"], ["reagan"], ["Alexandria Fitch"], ["IZ 👄💨"], ["Gavin Clark"], ["Manda 💝"], ["ella allphin"], ["Camael Clb"], ["marlee alvizo"], ["macye"], ["alexandra garza"], ["maddie"], ["Patrick Garwo"], ["Alaeyah"], ["madison paige"], ["Lexi"], ["Santana:)"], ["Ciani🥵"]], "Total_raw_rows": 1130, "Exploration_sql": "Based on the schema of the tables in the database, the following tables and columns have text fields where person names might be found:\n- Table: Contact\n  - Columns: displayName, phone\n\n- Table: Friend\n  - Columns: displayName, phone\n\n- Table: PostableStory\n  - Columns: userName, displayName\n\n- Table: Snap\n  - Columns: username, displayName\n\nTo search for possible person names in these tables, you can use the following SQL query:\n```sql\nSELECT displayName FROM Contact WHERE displayName REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\nUNION ALL\nSELECT phone FROM Contact WHERE phone REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\nUNION ALL\nSELECT displayName FROM Friend WHERE displayName REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\nUNION ALL\nSELECT phone FROM Friend WHERE phone REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\nUNION ALL\nSELECT userName FROM PostableStory WHERE userName REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\nUNION ALL\nSELECT displayName FROM PostableStory WHERE displayName REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\nUNION ALL\nSELECT username FROM Snap WHERE username REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\nUNION ALL\nSELECT displayName FROM Snap WHERE displayName REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\n```\n\nThis query will search for loosely structured human name-like strings in the specified columns of the mentioned tables.", "Extraction_sql": "Based on the schema of the tables in the database, the following tables and columns have text fields where person names might be found:\n- Table: Contact - Columns: displayName, phone\n- Table: Friend - Columns: displayName, phone\n- Table: PostableStory - Columns: userName, displayName\n- Table: Snap - Columns: username, displayName\nTo search for possible person names in these tables, you can use the following SQL query:\n```sql\nSELECT displayName FROM Contact WHERE displayName REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\nUNION ALL\nSELECT phone FROM Contact WHERE phone REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\nUNION ALL\nSELECT displayName FROM Friend WHERE displayName REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\nUNION ALL\nSELECT phone FROM Friend WHERE phone REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\nUNION ALL\nSELECT userName FROM PostableStory WHERE userName REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\nUNION ALL\nSELECT displayName FROM PostableStory WHERE displayName REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\nUNION ALL\nSELECT username FROM Snap WHERE username REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\nUNION ALL\nSELECT displayName FROM Snap WHERE displayName REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\n```\nThis query will search for loosely structured human name-like strings in the specified columns of the mentioned tables.", "PII_Prompt": "a loosely structured human name-like strings that typically consist of a first name, a first name and a last name, and may also include middle names, initials, prefixes (e.g., Mr., Dr.), and suffixes (e.g., Jr., Sr.)"}
{"db_path": "selectedDBs\\A2_main.db", "PII_type": "POSTAL_ADDRESS", "PII": [], "Num_of_PII": 0, "source_columns": [], "Raw_rows_first_100": [], "Total_raw_rows": 0, "Exploration_sql": "Based on the schema of the tables in the database, the following tables and columns have the potential to contain US postal addresses:\n- Table: Contact\n  - Columns: displayName, phone\n\n- Table: Feed\n  - Columns: score\n\n- Table: Friend\n  - Columns: displayName, phone\n\n- Table: Snap\n  - Columns: captionTextDisplay\n\nPlease note that these are potential columns where US postal addresses might be found based on the schema. To search for US postal addresses, we can query these columns using regular expressions.", "Extraction_sql": null, "PII_Prompt": "a US postal address is a street-level mailing location in the United States, commonly appearing as a street name and suffix (e.g., 'Market St') optionally with a street number (e.g., '1500 Market St'), unit, city/state, ZIP, or a PO Box (e.g., 'P.O. Box 123')"}