Triple

T2924635
Position Surface form Disambiguated ID Type / Status
Subject Bletchley Park E78812 entity
Predicate employed P7 FINISHED
Object Tommy Flowers E310471 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: Tommy Flowers | Statement: [Bletchley Park, employed, Tommy Flowers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tommy Flowers
Context triple: [Bletchley Park, employed, Tommy Flowers]
  • A. Tommy Flowers chosen
    Tommy Flowers was a British engineer best known for designing Colossus, the world’s first programmable electronic computer, which was used to break German codes during World War II.
  • B. Eddie Leslie
    Eddie Leslie was a British screenwriter and actor known for his work on mid-20th-century comedy films.
  • C. Errol Christie
    Errol Christie was a British professional boxer and former amateur champion known for captaining the English amateur boxing team and competing as a middleweight in the 1980s.
  • D. Ronnie Moran
    Ronnie Moran was a long-serving Liverpool FC coach and caretaker manager, renowned as a key figure in the club’s famed “Boot Room” era.
  • E. Tommy Dickson
    Tommy Dickson was a prolific Northern Irish forward best known as a legendary goal-scorer and iconic figure for Linfield FC in the mid-20th century.
  • 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad97c086888190ba51ce659a6c4f50 completed March 8, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b08664fe308190889e855821a32576 completed March 10, 2026, 9 p.m.
Created at: March 8, 2026, 2:55 p.m.