Triple
T33369391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Filmfare Award for Best Film |
E854441
|
entity |
| Predicate | notableMultipleWinningProducer |
P6588
|
FINISHED |
| Object | Yash Raj Films |
E394108
|
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: Yash Raj Films | Statement: [Filmfare Award for Best Film, notableMultipleWinningProducer, Yash Raj Films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableMultipleWinningProducer Context triple: [Filmfare Award for Best Film, notableMultipleWinningProducer, Yash Raj Films]
-
A.
notableProducer
Indicates that an entity is a significant or well-known producer associated with another entity, such as a work, product, or project.
-
B.
associatedWithAwardWinningProducer
Indicates that an entity has a professional or creative connection with a producer who has received an award.
-
C.
notableMultipleWinners
chosen
Indicates that the subject has achieved multiple wins or repeated successes in a notable event, competition, or award.
-
D.
winningProducers
Indicates that the associated producers are those who have won a particular award, contest, or competition.
-
E.
notableProductionDirector
Indicates that a person served as a significant or distinguished director for a particular production.
- 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_69f3496bda8c8190bfc8fade9d1b791c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a35521b2910819089191feacbeb2a51 |
completed | June 19, 2026, 2:28 p.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:35 a.m.