Triple
T7577417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newsies (stage musical) |
E179392
|
entity |
| Predicate | dramaDeskAwardWinCategory |
P77580
|
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), dramaDeskAwardWinCategory, Outstanding Choreography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dramaDeskAwardWinCategory Context triple: [Newsies (stage musical), dramaDeskAwardWinCategory, Outstanding Choreography]
-
A.
awardedInTheatre
Indicates that an award or honor was given to someone or something specifically for work or achievement in the field of theatre.
-
B.
isOscarCategory
Indicates that a given entity is a category or award type within the Oscars (Academy Awards) system.
-
C.
WestEndAward
Indicates that an entity has received, been nominated for, or is otherwise associated with a West End theatre award.
-
D.
award for recorded comedy performance},{
Indicates that an entity receives an award specifically recognizing a recorded comedy performance.
-
E.
awardShowType
Indicates the specific category or kind of award show associated with an entity.
- 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.