Triple

T22102949
Position Surface form Disambiguated ID Type / Status
Subject Daddy (1989 film) E546214 entity
Predicate starring P1507 FINISHED
Object Neena Gupta 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: Neena Gupta | Statement: [Daddy (1989 film), starring, Neena Gupta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neena Gupta
Context triple: [Daddy (1989 film), starring, Neena Gupta]
  • A. Neena Gupta chosen
    Neena Gupta is an acclaimed Indian film, television, and theatre actress and director known for her versatile performances across parallel and mainstream cinema.
  • B. Dina Pathak
    Dina Pathak was a renowned Indian actress and theatre activist known for her powerful character roles in Hindi and Gujarati cinema and stage.
  • C. Neetu Kapoor
    Neetu Kapoor is an Indian film actress best known for her work in Hindi cinema from the 1970s and 1980s and for being part of the prominent Kapoor film family.
  • D. Nadira Babbar
    Nadira Babbar is an Indian theatre director and actress known for her work in Hindi cinema and on stage, including a role in the film "Bride and Prejudice."
  • E. Rupa Mehra
    Rupa Mehra is a central matriarchal figure in Vikram Seth’s novel "A Suitable Boy," best known for her determined quest to find an ideal husband for her daughter Lata.
  • 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.