Triple

T13297502
Position Surface form Disambiguated ID Type / Status
Subject Max Newman E316722 entity
Predicate collaboratedWith P435 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: [Max Newman, collaboratedWith, Tommy Flowers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tommy Flowers
Context triple: [Max Newman, collaboratedWith, 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. Tommy Rowland
    Tommy Rowland is the central protagonist of the film "Beautiful Girls," around whom the story’s themes of friendship, nostalgia, and romantic uncertainty revolve.
  • C. Tommy Warrilow
    Tommy Warrilow is an English football manager and former player best known for managing non-league clubs, including a spell in charge of Ashford United F.C.
  • D. Tommy Shepherd
    Tommy Shepherd is a Marvel Comics character, also known as the speedster Wiccan’s twin brother Speed, and a reincarnated son of the Scarlet Witch.
  • E. Tommy Parker
    Tommy Parker is a songwriter best known for his work on the track "Walk It Out."
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a2f2708190a8f2aa7e7c0b92d2 completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716dd0cd88190b0ae81b402fc31cf completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:28 p.m.