Triple
T22802972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Can't Stop the Music |
E564449
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Bronté Woodard |
—
|
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: Bronté Woodard | Statement: [Can't Stop the Music, screenwriter, Bronté Woodard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bronté Woodard Context triple: [Can't Stop the Music, screenwriter, Bronté Woodard]
-
A.
Brontë Woodard
chosen
Brontë Woodard was an American screenwriter best known for co-writing the hit 1978 film adaptation of the musical "Grease."
-
B.
Latorya Watts
Latorya Watts is a professional IFBB figure competitor best known for winning the prestigious Figure Olympia title.
-
C.
Eboni Mills
Eboni Mills is known for having been married to RZA, the influential producer and de facto leader of the Wu-Tang Clan.
-
D.
Kate Mayfield
Kate Mayfield is an American author and memoirist best known for her book "The Undertaker's Daughter," which recounts her childhood growing up in a funeral home.
-
E.
Barboura Morris
Barboura Morris was an American actress best known for her roles in several 1950s and 1960s low-budget and cult films, particularly those produced by American International Pictures.
- 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cdf1e308190a05d0f61856be544 |
completed | April 29, 2026, 3:37 a.m. |
Created at: April 17, 2026, 3:31 p.m.