Triple

T22755615
Position Surface form Disambiguated ID Type / Status
Subject Rekha E562834 entity
Predicate notableWork P4 FINISHED
Object Ijaazat 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: Ijaazat | Statement: [Rekha, notableWork, Ijaazat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ijaazat
Context triple: [Rekha, notableWork, Ijaazat]
  • A. Ijaazat chosen
    Ijaazat is a critically acclaimed 1987 Hindi film directed by Gulzar, known for its mature exploration of complex relationships and its memorable music by R.D. Burman.
  • B. Jawazat
    Jawazat is Saudi Arabia’s government authority responsible for passports, residency permits (iqama), and immigration-related services.
  • C. Hawaizaada
    Hawaizaada is a 2015 Indian Hindi-language biographical drama film inspired by the life and experiments of aviation pioneer Shivkar Bapuji Talpade.
  • D. Izzat
    Izzat is the given name of Izzat Ibrahim al-Douri, a prominent Iraqi Ba'athist military commander and political figure.
  • E. Imlah
    Imlah is a biblical figure known primarily as the father of the prophet Micaiah mentioned in the Old Testament.
  • 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_69e24551ec7881909a9c924dbea155f6 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f179bd22588190ac724a656194f5b9 completed April 29, 2026, 3:23 a.m.
Created at: April 17, 2026, 3:25 p.m.