Triple

T22599355
Position Surface form Disambiguated ID Type / Status
Subject Saans E574769 entity
Predicate productionCompany P490 FINISHED
Object Yash Raj Films 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: Yash Raj Films | Statement: [Saans, productionCompany, Yash Raj Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yash Raj Films
Context triple: [Saans, productionCompany, Yash Raj Films]
  • A. Yash Raj Films chosen
    Yash Raj Films is a major Indian film production and distribution company known for producing and releasing many of Bollywood’s most successful and influential movies.
  • B. Raaj Kamal Films International
    Raaj Kamal Films International is an Indian film production company founded by actor-filmmaker Kamal Haasan, known for producing numerous acclaimed Tamil-language movies.
  • C. Lightning Pictures
    Lightning Pictures is a film production company known for producing the 1990 thriller "Blue Steel."
  • D. R. K. Films
    R. K. Films is an Indian film production company founded by legendary actor-filmmaker Raj Kapoor, known for producing several classic Hindi movies.
  • E. Vinod Chopra Films
    Vinod Chopra Films is an Indian film production company known for producing acclaimed Hindi movies under the leadership of filmmaker Vidhu Vinod Chopra.
  • 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_69e245bc11308190b69d794d5d1e0bb6 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1626b5f5481909a104088d1c96720 completed April 29, 2026, 1:44 a.m.
Created at: April 17, 2026, 2:50 p.m.