Triple

T3009706
Position Surface form Disambiguated ID Type / Status
Subject Season of the Witch E81986 entity
Predicate cinematography P1953 FINISHED
Object Amir Mokri E138159 NE FINISHED

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: Amir Mokri | Statement: [Season of the Witch, cinematography, Amir Mokri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amir Mokri
Context triple: [Season of the Witch, cinematography, Amir Mokri]
  • A. Amir Mokri chosen
    Amir Mokri is an Iranian-American cinematographer known for his dynamic, high-energy visual style on major action and blockbuster films such as "Man of Steel," "Transformers: Dark of the Moon," and "Fast & Furious."
  • B. Karim Khalili
    Karim Khalili is an Afghan politician and former vice president who served as a prominent Hazara leader and key figure in the anti-Taliban resistance.
  • C. Mahyar Abousaeedi
    Mahyar Abousaeedi is a cinematographer best known for his work on the Pixar animated film "Turning Red."
  • D. Darius Alizadeh
    Darius Alizadeh is a character appearing in the James Bond continuation novel "Devil May Care" by Sebastian Faulks.
  • E. David Bakhtiari
    David Bakhtiari is an American football offensive tackle best known for his Pro Bowl career with the Green Bay Packers in the NFL.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad8b1c4de88190a83b7cefaa1f2842 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a4ccbf08190a7580c9e758804d0 completed March 8, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e5f612c8190824deb0813a9f981 completed March 11, 2026, 8:57 a.m.
Created at: March 8, 2026, 3 p.m.