Triple
T2288955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What a Girl Wants |
E51458
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object | Diane Martel |
E135700
|
NE FINISHED |
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 Martel | Statement: [What a Girl Wants, musicVideoDirector, Diane Martel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diane Martel Context triple: [What a Girl Wants, musicVideoDirector, Diane Martel]
-
A.
Diane Martel
chosen
Diane Martel is an American music video director and choreographer known for her work on numerous high-profile pop and R&B videos.
-
B.
Judith Kilpatrick
Judith Kilpatrick is a notable individual recognized as a prominent bearer of the surname Kilpatrick.
-
C.
Diane Alexander
Diane Alexander is an American former dancer and fashion designer best known as the ex-wife of singer Lionel Richie.
-
D.
Valerie LaPointe
Valerie LaPointe is an American storyboard artist, writer, and director best known for her story work at Pixar, including on Toy Story 4.
-
E.
Annamie Paul
Annamie Paul is a Canadian politician and lawyer who served as leader of the Green Party of Canada and was one of the first Black Jewish women to lead a major federal political party in Canada.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc2497ce881909b05eb9cec67d9e7 |
completed | March 7, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae894f9ff881909d1b3a7956d82576 |
completed | March 9, 2026, 8:48 a.m. |
Created at: March 4, 2026, 7:48 p.m.