Triple

T21944260
Position Surface form Disambiguated ID Type / Status
Subject Talvar E541894 entity
Predicate leadActor P1507 FINISHED
Object Irrfan Khan 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: Irrfan Khan | Statement: [Talvar, leadActor, Irrfan Khan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irrfan Khan
Context triple: [Talvar, leadActor, Irrfan Khan]
  • A. Irrfan Khan chosen
    Irrfan Khan was a critically acclaimed Indian actor known for his powerful performances in both Bollywood and international films such as "The Namesake," "Slumdog Millionaire," and "Life of Pi."
  • B. R. Madhavan
    R. Madhavan is a popular Indian actor, writer, and film producer known for his work in Tamil and Hindi cinema, with acclaimed performances in films like "Alaipayuthey," "Rehnaa Hai Terre Dil Mein," and "3 Idiots."
  • C. Nawazuddin Siddiqui
    Nawazuddin Siddiqui is an acclaimed Indian actor known for his intense, nuanced performances in Hindi cinema and web series, often portraying complex, realistic characters.
  • D. Richard Pinto
    Richard Pinto is a television writer and producer best known for co-creating the Australian comedy-drama series "The Boomers."
  • E. Richard Pinto
    Richard Pinto is a British television writer and producer best known for co-creating the BBC sitcom "Citizen Khan."
  • 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1242688988190a7b8f033c49368de completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:56 p.m.