Triple

T22094380
Position Surface form Disambiguated ID Type / Status
Subject Om Puri E545987 entity
Predicate spouse P13 FINISHED
Object Seema Kapoor 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: Seema Kapoor | Statement: [Om Puri, spouse, Seema Kapoor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seema Kapoor
Context triple: [Om Puri, spouse, Seema Kapoor]
  • A. Seema Kapoor chosen
    Seema Kapoor is an Indian television and film actress and director, known for her work in Hindi entertainment and her marriage to the late actor Om Puri.
  • B. Raveena Tandon
    Raveena Tandon is an Indian actress and producer known for her prominent roles in 1990s and early 2000s Bollywood films and for winning the National Film Award for Best Actress.
  • C. Sunita Kapoor
    Sunita Kapoor is an Indian former model and costume designer best known as the wife of Bollywood actor Anil Kapoor and the matriarch of the Kapoor family, including actress Sonam Kapoor.
  • 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. 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.
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e766388190aad1039fe0849771 completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.