Triple
T12926298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good Girl |
E309251
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object |
Theresa Wingert
Theresa Wingert is a music video director known for her work on the video for the song "Good Girl."
|
E1024882
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Theresa Wingert | Statement: [Good Girl, musicVideoDirector, Theresa Wingert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Theresa Wingert Context triple: [Good Girl, musicVideoDirector, Theresa Wingert]
-
A.
Theresa Eichenwald
Theresa Eichenwald is an American physician and academic known for her work in pediatrics and infectious diseases.
-
B.
Theresa Hanson
Theresa Hanson is a Canadian university sports administrator who serves as the athletic director for Simon Fraser University's Red Leafs athletic program.
-
C.
Theresa Preston-Werner
Theresa Preston-Werner is an American entrepreneur and co-founder of the prenatal health startup Oula, known for her work at the intersection of technology and maternal healthcare.
-
D.
Barbara Pewterschmidt
Barbara Pewterschmidt is Lois Griffin’s wealthy, snobbish mother and Stewie Griffin’s maternal grandmother in the animated series "Family Guy."
-
E.
Julie Hagerty
Julie Hagerty is an American actress and former model best known for her comedic roles in films such as "Airplane!" and "What About Bob?".
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Theresa Wingert Triple: [Good Girl, musicVideoDirector, Theresa Wingert]
Generated description
Theresa Wingert is a music video director known for her work on the video for the song "Good Girl."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Theresa Wingert Target entity description: Theresa Wingert is a music video director known for her work on the video for the song "Good Girl."
-
A.
Theresa Eichenwald
Theresa Eichenwald is an American physician and academic known for her work in pediatrics and infectious diseases.
-
B.
Theresa Hanson
Theresa Hanson is a Canadian university sports administrator who serves as the athletic director for Simon Fraser University's Red Leafs athletic program.
-
C.
Theresa Preston-Werner
Theresa Preston-Werner is an American entrepreneur and co-founder of the prenatal health startup Oula, known for her work at the intersection of technology and maternal healthcare.
-
D.
Barbara Pewterschmidt
Barbara Pewterschmidt is Lois Griffin’s wealthy, snobbish mother and Stewie Griffin’s maternal grandmother in the animated series "Family Guy."
-
E.
Julie Hagerty
Julie Hagerty is an American actress and former model best known for her comedic roles in films such as "Airplane!" and "What About Bob?".
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971eb17c88190bf523da897172a0c |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eacc2f808190bcc6817b7ce82750 |
completed | May 3, 2026, 6:27 a.m. |
| NEDg | Description generation | batch_69f6f0abf3b88190b7d7731c1cf9346b |
completed | May 3, 2026, 6:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f1028fbc8190bd27fd339a04e4a0 |
completed | May 3, 2026, 6:53 a.m. |
Created at: April 9, 2026, 5:42 p.m.