Triple

T7242096
Position Surface form Disambiguated ID Type / Status
Subject 42 E156380 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: [42, cinematographyBy, Don Burgess]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Burgess
Context triple: [42, 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. 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."
  • D. Jim Hutton
    Jim Hutton was an Irish hairdresser best known as the long-term partner of Queen frontman Freddie Mercury during the final years of Mercury’s life.
  • E. Jim Hutton
    Jim Hutton was an American actor best known for his lanky, affable screen presence in 1960s comedies and for playing the title role in the TV series "Ellery Queen."
  • 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_69c68827b5e481908dc05e145b2c92d4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea552a688190a00f5d0ad982f787 completed March 27, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c4097d88190b00a8c64ce6871e5 completed March 28, 2026, 8:38 p.m.
Created at: March 27, 2026, 2:55 p.m.