Triple

T22334920
Position Surface form Disambiguated ID Type / Status
Subject Johar Mehmood in Hong Kong E552120 entity
Predicate cinematographyBy P1953 FINISHED
Object Anwar Siraj 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: Anwar Siraj | Statement: [Johar Mehmood in Hong Kong, cinematographyBy, Anwar Siraj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anwar Siraj
Context triple: [Johar Mehmood in Hong Kong, cinematographyBy, Anwar Siraj]
  • A. Anwar Siraj chosen
    Anwar Siraj is a cinematographer known for his work on the Hindi film "Five Rifles."
  • B. Tariq Anwar
    Tariq Anwar is a British film editor known for his acclaimed work on numerous major films, including the Academy Award–winning drama "The King’s Speech."
  • C. Tariq Anwar
    Tariq Anwar is an Indian politician best known for co-founding the Nationalist Congress Party and serving as a prominent parliamentarian and minister.
  • D. Mohammed Riaz
    Mohammed Riaz is a film producer best known for his work on the Indian drama film "Virasat."
  • E. Sajjad Zaheer
    Sajjad Zaheer was an Indian Urdu writer, Marxist intellectual, and political activist who co-founded and led the Progressive Writers' Movement in South Asia.
  • 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_69e11e494eec81909c4d2d51f69499d9 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1577e35f48190b11789d80182653e completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:43 p.m.