Triple
T7577413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newsies (stage musical) |
E179392
|
entity |
| Predicate | tonyAwardWinCategory |
P16597
|
FINISHED |
| Object | Best Choreography |
—
|
LITERAL 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: Best Choreography | Statement: [Newsies (stage musical), tonyAwardWinCategory, Best Choreography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tonyAwardWinCategory Context triple: [Newsies (stage musical), tonyAwardWinCategory, Best Choreography]
-
A.
isOscarCategory
Indicates that a given entity is a category or award type within the Oscars (Academy Awards) system.
-
B.
tonyAwardsWonFor
chosen
Indicates the specific Tony Award-winning work or role for which an entity received a Tony Award.
-
C.
oscarCategoryWon
Indicates that an entity has won an Academy Award in the specified Oscar category.
-
D.
baftaAward
Indicates that an entity has received or been honored with a BAFTA (British Academy of Film and Television Arts) award.
-
E.
tonyAwardForBestActorInAPlayWork
Indicates that a work (play) is the performance or role for which an actor received the Tony Award for Best Actor in a Play.
- F. None of above.
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_69c69f327db881909a21ae3b156f8ded |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f94cdbec81909f2ba7ce04e49931 |
completed | March 27, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69c6f4de77048190b8769e717fdcf8e7 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:51 p.m.