Triple

T21877977
Position Surface form Disambiguated ID Type / Status
Subject Batey E540201 entity
Predicate hasNotableBearer P458 FINISHED
Object Keith Batey 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: Keith Batey | Statement: [Batey, hasNotableBearer, Keith Batey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keith Batey
Context triple: [Batey, hasNotableBearer, Keith Batey]
  • A. Keith Batey chosen
    Keith Batey was a British codebreaker and intelligence officer who worked at Bletchley Park during World War II, notably alongside his wife, fellow cryptanalyst Mavis Batey.
  • B. Keith Baxter
    Keith Baxter is a British actor best known for his acclaimed performance as Prince Hal in Orson Welles's film "Chimes at Midnight."
  • C. Brent Judd
    Brent Judd is a film and television producer best known for his work on the comedy series "Trainwreck."
  • D. Scott Beatty
    Scott Beatty is an American comic book writer and editor known for his work on DC Comics titles, particularly various Batman-related series and reference guides.
  • E. Keith Poulson
    Keith Poulson is an American actor known for his work in independent films and for roles in offbeat, character-driven movies.
  • 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_69e0c479a98081908ce333853fdd4348 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0f33c012c819096d0f7b2ffdc7a2f completed April 28, 2026, 5:49 p.m.
Created at: April 16, 2026, 7:03 p.m.