Triple

T19273683
Position Surface form Disambiguated ID Type / Status
Subject Zubeidaa E481991 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: [Zubeidaa, castMember, Farida Jalal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Farida Jalal
Context triple: [Zubeidaa, 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. Hamida Mohammad Ali
    Hamida Mohammad Ali was the wife of Pakistani statesman and former Prime Minister Mohammad Ali Bogra.
  • C. 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.
  • D. 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.
  • E. Wafa Begum
    Wafa Begum was a queen consort of the Durrani Empire as the wife of Afghan ruler Shuja Shah Durrani.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbba7758819081c1c78667c59c5e completed April 20, 2026, 10:11 a.m.
Created at: April 10, 2026, 1:29 p.m.