Triple

T6257221
Position Surface form Disambiguated ID Type / Status
Subject Hugh Garner E140198 entity
Predicate birthName P65 FINISHED
Object Hugh Garner E140198 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: Hugh Garner | Statement: [Hugh Garner, birthName, Hugh Garner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hugh Garner
Context triple: [Hugh Garner, birthName, Hugh Garner]
  • A. Hugh Garner chosen
    Hugh Garner was a Canadian author best known for his socially conscious novels and short stories depicting working-class life in Toronto.
  • B. John McIntire
    John McIntire was an American character actor known for his distinctive deep voice and roles in Western films and television, as well as voice work in classic Disney animated features.
  • C. Phil Garner
    Phil Garner is a former Major League Baseball second baseman and manager, best known for leading the Houston Astros to their first World Series appearance in 2005.
  • D. Len Garry
    Len Garry is a British musician best known as the original tea-chest bass player in The Quarrymen, the skiffle group that evolved into The Beatles.
  • E. Malcolm Collier
    Malcolm Collier is an anthropologist and visual researcher known for his collaborative work with John Collier Jr. on photographic methods in social research.
  • 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_69c008c95c5c819084bd3dd56133d84d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06366baa481908d59428cceabbe46 completed March 22, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e3f7faf08190a349c9444135afb8 completed March 27, 2026, 1:57 a.m.
Created at: March 22, 2026, 4:24 p.m.