Triple
T22103047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Special 26 |
E546216
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Bhushan Kumar |
—
|
NE NERFINISHED |
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: Bhushan Kumar | Statement: [Special 26, producer, Bhushan Kumar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bhushan Kumar Context triple: [Special 26, producer, Bhushan Kumar]
-
A.
Bhushan Kumar
chosen
Bhushan Kumar is an Indian film producer and music executive, best known as the chairman and managing director of T-Series and for producing numerous successful Bollywood films and music albums.
-
B.
Kumar Vishwas
Kumar Vishwas is an Indian Hindi poet, politician, and public speaker known for his involvement in anti-corruption politics and his early association with the Aam Aadmi Party.
-
C.
Hemant Chaturvedi
Hemant Chaturvedi is an Indian cinematographer known for his visually striking work on acclaimed films such as Maqbool.
-
D.
Kishore Sahu
Kishore Sahu was a prominent Indian film director, actor, and producer known for his influential work during the Golden Age of Hindi cinema.
-
E.
Sandeep Mathrani
Sandeep Mathrani is a real estate executive best known for leading major U.S. mall operator General Growth Properties and later serving as CEO of WeWork.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129175a7881909549883f23c53dca |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.