Triple

T22768978
Position Surface form Disambiguated ID Type / Status
Subject 10 Years E563201 entity
Predicate castMember P1668 FINISHED
Object Brian Geraghty 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: Brian Geraghty | Statement: [10 Years, castMember, Brian Geraghty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Geraghty
Context triple: [10 Years, castMember, Brian Geraghty]
  • A. Brian Geraghty chosen
    Brian Geraghty is an American actor known for his roles in films like "The Hurt Locker" and "Jarhead" as well as television series such as "Boardwalk Empire" and "Chicago P.D."
  • B. David Doherty
    David Doherty is a relatively common personal name shared by multiple individuals, including professionals in fields such as sports, politics, and academia.
  • C. Christian McLaughlin
    Christian McLaughlin is a television producer and writer known for his work on various comedy and genre projects, including the film "The Invisible Woman."
  • D. Brian Fitzpatrick
    Brian Fitzpatrick is an American Republican politician and former FBI agent who has served as a U.S. Representative from Pennsylvania.
  • E. Brian Fitzpatrick
    Brian Fitzpatrick is a fictional character played by actor James Buckley, best known for his comedic roles in British 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17b59c9cc8190a6edd68f3209a672 completed April 29, 2026, 3:30 a.m.
Created at: April 17, 2026, 3:27 p.m.