Triple
T22094413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aakrosh |
E545988
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Govind Nihalani |
—
|
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: Govind Nihalani | Statement: [Aakrosh, director, Govind Nihalani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Govind Nihalani Context triple: [Aakrosh, director, Govind Nihalani]
-
A.
Govind Nihalani
chosen
Govind Nihalani is an acclaimed Indian cinematographer and filmmaker known for his work in parallel cinema and socially conscious films.
-
B.
Subhash Ghai
Subhash Ghai is a prominent Indian film director, producer, and screenwriter known for directing several major Bollywood hits since the late 1970s.
-
C.
M.S. Sathyu
M.S. Sathyu is an acclaimed Indian film director best known for his socially conscious and politically charged works, including the landmark film "Garm Hava," which helped define the parallel cinema movement.
-
D.
Hansal Mehta
Hansal Mehta is an Indian filmmaker and director known for critically acclaimed films and series such as "Shahid," "Aligarh," and "Scam 1992."
-
E.
Hrishikesh Mukherjee
Hrishikesh Mukherjee was a celebrated Indian film director and editor, best known for his warm, middle-class family dramas and comedies in Hindi cinema from the 1960s to the 1980s.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e766388190aad1039fe0849771 |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.