Triple

T22102918
Position Surface form Disambiguated ID Type / Status
Subject Ram Lakhan E546213 entity
Predicate castMember P1668 FINISHED
Object Saeed Jaffrey 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: Saeed Jaffrey | Statement: [Ram Lakhan, castMember, Saeed Jaffrey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saeed Jaffrey
Context triple: [Ram Lakhan, castMember, Saeed Jaffrey]
  • A. Saeed Jaffrey chosen
    Saeed Jaffrey was a distinguished Indian-born British actor known for his versatile performances in film, television, and theatre, including notable roles in both Bollywood and international cinema.
  • B. Amjad Khan
    Amjad Khan was a renowned Indian film actor best known for his iconic villainous roles in Hindi cinema, particularly as Gabbar Singh in "Sholay."
  • C. Feroz Khan
    Feroz Khan was a prominent Indian actor, director, and producer known for his stylish persona and influential work in Hindi cinema from the 1960s through the 1990s.
  • D. Aziz Mirza
    Aziz Mirza is an Indian film and television director best known for his work in Hindi cinema, including popular films like "Yes Boss" and "Chalte Chalte."
  • E. Farooq Shaikh
    Farooq Shaikh was a renowned Indian film and television actor best known for his nuanced performances in parallel cinema and middle-class comedies from the late 1970s through the 1990s.
  • 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.