Triple

T21251471
Position Surface form Disambiguated ID Type / Status
Subject Local Hero E523754 entity
Predicate editedBy P1954 FINISHED
Object Michael Bradsell 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: Michael Bradsell | Statement: [Local Hero, editedBy, Michael Bradsell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Bradsell
Context triple: [Local Hero, editedBy, Michael Bradsell]
  • A. Michael Bradsell chosen
    Michael Bradsell is a British film editor known for his work on notable films including Kenneth Branagh’s adaptation of "Henry V" (1989).
  • B. Michael Bradsell
    Michael Bradsell is a British science fiction editor best known for his work on the magazine Jabberwocky.
  • C. Michael Boughen
    Michael Boughen is a film producer known for his work on action and thriller movies, including the Jason Statham–starring film "Killer Elite."
  • D. Michael Buckland
    Michael Buckland is an American information scientist and librarian known for his influential work on information retrieval, library services, and the theory of information systems.
  • E. Tom Bradshaw
    Tom Bradshaw was an English footballer known for playing as a notable early-era player for Thames Ironworks, the club that later became West Ham United.
  • 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7359e90d881909b3153f1e7213c5c completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:57 p.m.