Triple
T18112737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What Women Want |
E433520
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Diane Drake |
—
|
NE NERFINISHED |
How this triple was built (2 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: Diane Drake | Statement: [What Women Want, screenwriter, Diane Drake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diane Drake Context triple: [What Women Want, screenwriter, Diane Drake]
-
A.
Diane Drake
chosen
Diane Drake is an American screenwriter best known for writing romantic comedies such as "Only You" and "What Women Want."
-
B.
Diane Sterling
Diane Sterling is a recurring character in the TV series "NCIS," known as one of Leroy Jethro Gibbs' ex-wives and for her sharp, contentious yet humorous dynamic with him.
-
C.
Diane Coulston
Diane Coulston is a teenage schoolgirl in the film "T2 Trainspotting," known for her past relationship with protagonist Mark Renton and her sharp, grounded perspective on the aging former heroin users.
-
D.
Diana Graves
Diana Graves is known as the wife of English character actor Michael Gough, famed for his role as Alfred in the Batman film series.
-
E.
Diane Lucas
Diane Lucas is a fictional character appearing in the Doctor Who serial "The Silence."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd3fd9c81909bfe95927f7553e3 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.