Triple

T5462401
Position Surface form Disambiguated ID Type / Status
Subject Indian parallel cinema E122622 entity
Predicate notableDirector P4744 FINISHED
Object Ketan Mehta E394105 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: Ketan Mehta | Statement: [Indian parallel cinema, notableDirector, Ketan Mehta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ketan Mehta
Context triple: [Indian parallel cinema, notableDirector, Ketan Mehta]
  • A. Ketan Mehta chosen
    Ketan Mehta is an Indian film director known for his socially and politically charged cinema, including acclaimed works in both mainstream and parallel Bollywood.
  • B. Govind Nihalani
    Govind Nihalani is an acclaimed Indian cinematographer and filmmaker known for his work in parallel cinema and socially conscious films.
  • C. Bimal Parekh
    Bimal Parekh is an Indian businessman and co-owner of the Indian Super League football club Mumbai City FC.
  • D. Rakeysh Omprakash Mehra
    Rakeysh Omprakash Mehra is an acclaimed Indian filmmaker best known for directing socially charged and stylistically distinctive films such as "Rang De Basanti" and "Bhaag Milkha Bhaag."
  • E. Subhash Ghai
    Subhash Ghai is a prominent Indian film director, producer, and screenwriter known for directing several major Bollywood hits since the late 1970s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd4643f16081908d7f29e08096115a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd92033dd08190a90bcae6b9f149d3 completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfa92cad508190a92618d1fda3608e completed March 22, 2026, 8:32 a.m.
Created at: March 20, 2026, 2:08 p.m.