Triple

T21430293
Position Surface form Disambiguated ID Type / Status
Subject 42 (film) E528664 entity
Predicate cinematographyBy P1953 FINISHED
Object Don Burgess 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: Don Burgess | Statement: [42 (film), cinematographyBy, Don Burgess]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Burgess
Context triple: [42 (film), cinematographyBy, Don Burgess]
  • A. Don Burgess chosen
    Don Burgess is an American cinematographer best known for his Oscar-nominated work on the film "Forrest Gump" and his frequent collaborations with director Robert Zemeckis.
  • B. Ray Colcord
    Ray Colcord was an American record producer and composer best known for his work in rock music and for scoring numerous television shows.
  • C. Ray Cusick
    Ray Cusick was a British designer best known for creating the iconic look of the Daleks in the long-running science fiction television series Doctor Who.
  • D. Dave Quackenbush
    Dave Quackenbush is an American punk rock vocalist best known as the longtime lead singer of the Southern California band The Vandals.
  • E. Gene Harrogate
    Gene Harrogate is a comic, hapless young drifter in Cormac McCarthy’s novel "Suttree," known for his bizarre schemes and naive optimism amid the book’s grim setting.
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee813ef6a8819089511b8f608c9491 completed April 26, 2026, 9:18 p.m.
Created at: April 16, 2026, 5:49 p.m.