Triple

T17762687
Position Surface form Disambiguated ID Type / Status
Subject Arnold Classic E443418 entity
Predicate hasNotableWinner P2766 FINISHED
Object Brandon Curry 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: Brandon Curry | Statement: [Arnold Classic, hasNotableWinner, Brandon Curry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brandon Curry
Context triple: [Arnold Classic, hasNotableWinner, Brandon Curry]
  • A. Brandon Curry chosen
    Brandon Curry is an American professional bodybuilder best known for winning the 2019 Mr. Olympia title.
  • B. Brandon Carr
    Brandon Carr is an American former NFL cornerback best known for his durable career with teams such as the Kansas City Chiefs, Dallas Cowboys, and Baltimore Ravens.
  • C. Nathan Curry
    Nathan Curry is an individual notable enough to be recognized as a bearer of the surname Curry, though specific widely known achievements or roles are not clearly established.
  • D. Ben Curry
    Ben Curry is an English professional rugby union flanker who has represented Sale Sharks and earned international caps for England.
  • E. Marcus Burnett
    Marcus Burnett is a comedic yet principled Miami detective, portrayed by Martin Lawrence, best known as one half of the buddy-cop duo in the Bad Boys film series.
  • 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e485f887ac81908c896a50175692b9 completed April 19, 2026, 7:36 a.m.
Created at: April 10, 2026, 10:11 a.m.