Triple

T10226354
Position Surface form Disambiguated ID Type / Status
Subject Shirley Valentine E243212 entity
Predicate editedBy P1954 FINISHED
Object Michael Bradsell E323966 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: Michael Bradsell | Statement: [Shirley Valentine, editedBy, Michael Bradsell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Bradsell
Context triple: [Shirley Valentine, editedBy, Michael Bradsell]
  • A. Michael Bradsell
    Michael Bradsell is a British science fiction editor best known for his work on the magazine Jabberwocky.
  • B. 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).
  • 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. 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.
  • E. Andrew Rennison
    Andrew Rennison is a British public official known for serving as the inaugural Surveillance Camera Commissioner, overseeing the regulation and ethical use of CCTV and related surveillance technologies in the UK.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d1f9cf6c81909a6b9e9b9d0a79fe completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d89f25c16c8190a17dc19e3e1b197a completed April 10, 2026, 6:56 a.m.
Created at: April 6, 2026, 11:17 a.m.