Triple

T20417535
Position Surface form Disambiguated ID Type / Status
Subject Qayamat: City Under Threat E500750 entity
Predicate castMember P1668 FINISHED
Object Raza Murad 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: Raza Murad | Statement: [Qayamat: City Under Threat, castMember, Raza Murad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raza Murad
Context triple: [Qayamat: City Under Threat, castMember, Raza Murad]
  • A. Raza Murad chosen
    Raza Murad is an Indian character actor known for his deep voice and frequent portrayals of villains and authoritative figures in Hindi cinema.
  • B. Mahmud Kati
    Mahmud Kati was a prominent West African Muslim scholar and historian, best known as one of the authors associated with the Timbuktu chronicle Tarikh al-Fattash.
  • C. Tolun Agha
    Tolun Agha was the mother of Timurid prince Umar Shaikh Mirza I and a consort within the Timurid royal household.
  • D. Hakim Khan
    Hakim Khan is a member of the Khan family and a relative of Yasmin Khan.
  • E. Iskander Khan
    Iskander Khan was a Central Asian ruler who succeeded Abdullah Khan II in leading the Khanate of Bukhara during the late 16th century.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a44ecf48190ba5a3872af500dc8 completed April 20, 2026, 7:11 p.m.
Created at: April 16, 2026, 11:30 a.m.