Triple

T7905230
Position Surface form Disambiguated ID Type / Status
Subject Cast Away E183558 entity
Predicate cinematographyBy P1953 FINISHED
Object Don Burgess E273079 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: Don Burgess | Statement: [Cast Away, cinematographyBy, Don Burgess]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Burgess
Context triple: [Cast Away, 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 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.
  • C. Ted Daughety
    Ted Daughety is an American physician and pulmonologist best known as the husband of Kansas Governor Laura Kelly.
  • D. Richard Burrell
    Richard Burrell is a British television producer best known for his work as an executive producer on the long-running BBC crime drama series "New Tricks."
  • E. Stephen Holbrook
    Stephen Holbrook is a notable individual recognized for his contributions in his professional field, though specific widely known details about his work are not clearly established from the given information.
  • 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_69ca828d13088190b222be7aa9f9315c completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a56c9f0819094dc87fe55a8823e completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd9423b4608190acbe4a3141890a05 completed April 1, 2026, 9:54 p.m.
Created at: March 30, 2026, 5:03 p.m.