Triple

T21764329
Position Surface form Disambiguated ID Type / Status
Subject Impromptu E537238 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: [Impromptu, editedBy, Michael Bradsell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Bradsell
Context triple: [Impromptu, 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_69e0c46f5d1c8190bf830409e98464e5 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f031a8a7f08190a4e50ebc24219585 completed April 28, 2026, 4:03 a.m.
Created at: April 16, 2026, 6:51 p.m.