Triple

T12794716
Position Surface form Disambiguated ID Type / Status
Subject Joel Edgerton E305858 entity
Predicate portrayed P1668 FINISHED
Object Brendan Conlon E916759 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: Brendan Conlon | Statement: [Joel Edgerton, portrayed, Brendan Conlon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brendan Conlon
Context triple: [Joel Edgerton, portrayed, Brendan Conlon]
  • A. Brendan Conlon chosen
    Brendan Conlon is a high school teacher and former mixed martial artist who returns to the cage to support his struggling family in the sports drama film "Warrior."
  • B. Brendan Connolly
    Brendan Connolly is a professional ice hockey forward known for playing in European leagues and representing Great Britain internationally.
  • C. Brendan McLoughlin
    Brendan McLoughlin is a former New York City police officer who gained public attention through his marriage to country music star Miranda Lambert.
  • D. Brendan Buckley
    Brendan Buckley is a professional music producer and drummer best known for his work with major pop artists such as Shakira.
  • E. Brendan McHale
    Brendan McHale is a relatively obscure individual whose primary current distinction is simply being noted as a bearer of the McHale surname.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e6ca0288190aba01735b71a01da completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5ed774881909d2df630820e5f21 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 5:30 p.m.