Triple

T15863242
Position Surface form Disambiguated ID Type / Status
Subject Rosemary Margaret Hobor E384642 entity
Predicate relative P37 FINISHED
Object Christopher Candy E363404 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: Christopher Candy | Statement: [Rosemary Margaret Hobor, relative, Christopher Candy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christopher Candy
Context triple: [Rosemary Margaret Hobor, relative, Christopher Candy]
  • A. Christopher Candy chosen
    Christopher Candy is a Canadian actor and comedian, and the son of the late comedy legend John Candy.
  • B. Danny Wagner
    Danny Wagner is the drummer for the American rock band Greta Van Fleet.
  • C. Andrew Carnes
    Andrew Carnes is a character in the musical "Oklahoma!", known as the protective father of Ado Annie.
  • D. Barrie Cassidy
    Barrie Cassidy is an Australian political journalist and television presenter best known for hosting the ABC’s long-running political program "Insiders."
  • E. Michael Kinney
    Michael Kinney is a relatively obscure individual whose primary distinguishing feature is sharing the surname Kinney, with no widely recognized public achievements or roles documented.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555d38fc8190bd8820bb5b238b71 completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa945d9808190a65f5182db341393 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:50 a.m.