Triple

T11424762
Position Surface form Disambiguated ID Type / Status
Subject Rishi Kapoor E270718 entity
Predicate mother P120 FINISHED
Object Krishna Kapoor E915841 NE FINISHED

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: Krishna Kapoor | Statement: [Rishi Kapoor, mother, Krishna Kapoor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krishna Kapoor
Context triple: [Rishi Kapoor, mother, Krishna Kapoor]
  • A. Krishna Kapoor chosen
    Krishna Kapoor was the wife of legendary Indian filmmaker and actor Raj Kapoor and a matriarch of the prominent Kapoor family in Bollywood.
  • B. Vikrant Kapoor
    Vikrant Kapoor is the central male protagonist in the 1999 Bollywood musical romance film "Taal," portrayed by actor Akshaye Khanna.
  • C. Rajat Kapoor
    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."
  • D. Sanjay Kapoor
    Sanjay Kapoor is an Indian film and television actor and producer known for his work in Hindi cinema since the 1990s.
  • 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 (3 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806be9c2c819084da13101cbb6c81 completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f43f15873881909e98e79283056573 completed May 1, 2026, 5:50 a.m.
Created at: April 8, 2026, 9:35 p.m.