Triple
T7577416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newsies (stage musical) |
E179392
|
entity |
| Predicate | outerCriticsCircleAwardWinCategory |
P77579
|
FINISHED |
| Object | Outstanding 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: Outstanding Choreography | Statement: [Newsies (stage musical), outerCriticsCircleAwardWinCategory, Outstanding Choreography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outerCriticsCircleAwardWinCategory Context triple: [Newsies (stage musical), outerCriticsCircleAwardWinCategory, Outstanding Choreography]
-
A.
isOscarCategory
Indicates that a given entity is a category or award type within the Oscars (Academy Awards) system.
-
B.
genreOfAwards
Indicates the type or category of awards associated with a given work, event, or entity.
-
C.
baftaAward
Indicates that an entity has received or been honored with a BAFTA (British Academy of Film and Television Arts) award.
-
D.
awardGenreFocus
Indicates that an award specifically recognizes or emphasizes works within a particular genre.
-
E.
oscarCategoryWon
Indicates that an entity has won an Academy Award in the specified Oscar category.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69c6f5b1a6a08190b9ff2bc8a7befe0d |
completed | March 27, 2026, 9:25 p.m. |
Created at: March 27, 2026, 3:51 p.m.