Triple

T18806350
Position Surface form Disambiguated ID Type / Status
Subject Frances Welty E459883 entity
Predicate hasRelationshipWith P2830 FINISHED
Object Tony Hogburn 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: Tony Hogburn | Statement: [Frances Welty, hasRelationshipWith, Tony Hogburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Hogburn
Context triple: [Frances Welty, hasRelationshipWith, Tony Hogburn]
  • A. Tony Hogburn chosen
    Tony Hogburn is a troubled former professional athlete and recovering addict who attends the mysterious wellness retreat at the center of Liane Moriarty’s novel and its TV adaptation Nine Perfect Strangers.
  • B. Jack Holbrook
    Jack Holbrook is a relatively obscure individual known primarily as a namesake associated with the surname Holbrook.
  • C. Harry Tibbett
    Harry Tibbett is a fictional British police inspector and the protagonist of a series of classic detective novels by Patricia Moyes.
  • D. Jack Horne
    Jack Horne is a burly, deeply religious frontiersman and skilled tracker who serves as one of the seven gunmen in the 2016 Western film "The Magnificent Seven."
  • E. Harry Antrim
    Harry Antrim was an American character actor known for his supporting roles in mid-20th-century films and television.
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3d7f8d08190a3e02fab6dc40bb5 completed April 20, 2026, 3:56 a.m.
Created at: April 10, 2026, 11:53 a.m.