Triple

T22033555
Position Surface form Disambiguated ID Type / Status
Subject Drishyam 2 E544144 entity
Predicate stars P1956 FINISHED
Object Rajat 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: Rajat Kapoor | Statement: [Drishyam 2, stars, Rajat Kapoor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rajat Kapoor
Context triple: [Drishyam 2, stars, Rajat Kapoor]
  • A. Rajat Kapoor chosen
    Rajat Kapoor is an Indian actor, writer, and filmmaker known for his work in independent cinema and acclaimed films such as "Bheja Fry," "Mithya," and "Ankhon Dekhi."
  • B. Vikrant Kapoor
    Vikrant Kapoor is the central male protagonist in the 1999 Bollywood musical romance film "Taal," portrayed by actor Akshaye Khanna.
  • C. Krishna Kapoor
    Krishna Kapoor was the wife of legendary Indian filmmaker and actor Raj Kapoor and a matriarch of the prominent Kapoor family in Bollywood.
  • D. Kunal Kapoor
    Kunal Kapoor is an Indian actor known for his work in Hindi cinema, particularly for his acclaimed performance in the film "Rang De Basanti."
  • E. Karan Kapoor
    Karan Kapoor is an Indian-born former model, photographer, and actor known for his work in 1980s Hindi cinema and British television, as well as 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127ef97348190b8dcdcad11694ebe completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:24 p.m.