Triple

T18731261
Position Surface form Disambiguated ID Type / Status
Subject Academy Award nomination E458039 entity
Predicate hasCategory P87 FINISHED
Object Best Cinematography 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: Best Cinematography | Statement: [Academy Award nomination, hasCategory, Best Cinematography]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Best Cinematography
Context triple: [Academy Award nomination, hasCategory, Best Cinematography]
  • A. Best Cinematography chosen
    Best Cinematography is an Academy Award category that honors outstanding achievement in motion picture photography and visual image creation.
  • B. Best Cinematography
    Best Cinematography is an MTV Video Music Award category that honors outstanding visual and camera work in music videos.
  • C. Best Cinematography
    Best Cinematography is a New York Film Critics Circle award category honoring outstanding achievement in motion picture cinematography.
  • D. Best Cinematography
    Best Cinematography is a David di Donatello film award category honoring outstanding achievement in the visual photography and lighting of a motion picture.
  • E. Golden Calf for Best Cinematography
    The Golden Calf for Best Cinematography is a prestigious Dutch film award presented at the Netherlands Film Festival to honor outstanding achievement in cinematographic work.
  • 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56d778cf8819083500600b9ac0744 completed April 20, 2026, 12:04 a.m.
Created at: April 10, 2026, 11:51 a.m.