Triple
T36929359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bollywood dance |
E913433
|
entity |
| Predicate | hasNotableChoreographers |
P151877
|
FINISHED |
| Object | Farah Khan |
E1617789
|
NE 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: Farah Khan | Statement: [Bollywood dance, hasNotableChoreographers, Farah Khan]
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 (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_69f76e896c988190880c130e01303dd4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40e05ee368819087b1d48205a1aec6 |
completed | June 28, 2026, 8:50 a.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:13 p.m.