Triple
T36929359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bollywood dance |
E913433
|
entity |
| Predicate | hasNotableChoreographers |
—
|
GENERATED |
| Object | Farah Khan |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableChoreographers Context triple: [Bollywood dance, hasNotableChoreographers, Farah Khan]
-
A.
hasNotableChoreographerAssociation
chosen
Indicates a relationship where an entity is significantly associated with a particular choreographer, such as through collaboration, influence, or dedicated work.
-
B.
hasNotableComposer
Indicates that an entity is associated with a composer who is recognized as particularly significant or distinguished.
-
C.
hasNotablePerformer
Indicates that an entity features or is associated with a performer who is particularly prominent, famous, or otherwise noteworthy.
-
D.
hasNotableAdaptationComposer
Indicates that an entity has a composer specifically responsible for the music of a notable adaptation of that entity.
-
E.
hasNotableMusicWork
Indicates that an entity is associated with a significant or well-known musical work, such as a composition, recording, or performance.
- F. None of above.
Provenance (1 batch)
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_69f76e896c988190880c130e01303dd4 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:13 p.m.