Triple

T22148898
Position Surface form Disambiguated ID Type / Status
Subject Kuch Kuch Hota Hai E547362 entity
Predicate castMember P1668 FINISHED
Object Farida Jalal 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: Farida Jalal | Statement: [Kuch Kuch Hota Hai, castMember, Farida Jalal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Farida Jalal
Context triple: [Kuch Kuch Hota Hai, castMember, Farida Jalal]
  • A. Farida Jalal chosen
    Farida Jalal is a veteran Indian film and television actress known for her versatile character roles and memorable performances across Hindi cinema since the 1960s.
  • B. Sadiya Siddiqui
    Sadiya Siddiqui is an Indian film and television actress known for her character roles in Hindi cinema and popular TV serials.
  • C. Hamida Mohammad Ali
    Hamida Mohammad Ali was the wife of Pakistani statesman and former Prime Minister Mohammad Ali Bogra.
  • D. Nilofer Khan
    Nilofer Khan is an Indian academic and administrator who became the first woman to serve as Vice-Chancellor of the University of Kashmir.
  • E. Leila Kabir
    Leila Kabir is an Indian woman known primarily as the former wife of prominent socialist leader and former Indian Defence Minister George Fernandes.
  • 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f209688190afea1f275c922c73 completed April 28, 2026, 9:43 p.m.
Created at: April 16, 2026, 8:33 p.m.