Triple

T1041957
Position Surface form Disambiguated ID Type / Status
Subject Rizzoli & Isles E22487 entity
Predicate supportingActor P7748 FINISHED
Object Bruce McGill E66188 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: Bruce McGill | Statement: [Rizzoli & Isles, supportingActor, Bruce McGill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruce McGill
Context triple: [Rizzoli & Isles, supportingActor, Bruce McGill]
  • A. Bruce McGill chosen
    Bruce McGill is an American character actor known for his versatile supporting roles in film and television, including notable performances in projects like "Animal House," "MacGyver," and "The Insider."
  • B. Ben Foster
    Ben Foster is an American actor known for his intense, often gritty performances in films such as "3:10 to Yuma," "Hell or High Water," and "The Messenger."
  • C. Richard Gant
    Richard Gant is an American character actor known for his roles in film and television, often portraying authoritative or tough-minded figures.
  • D. Luke Goss
    Luke Goss is an English actor and former drummer best known for his roles in genre films such as "Blade II" and "Hellboy II: The Golden Army."
  • E. Martin Henderson
    Martin Henderson is a New Zealand actor known for his roles in films like "The Ring" and "Everest" and TV series such as "Grey's Anatomy" and "Virgin River."
  • 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_69a493d91478819094cc01fb65564bc1 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bb71e7f88190bf33bbe5ef2c68ff completed March 1, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5999d30881909bc9e2d8528b1b56 completed March 7, 2026, 5 p.m.
Created at: March 1, 2026, 7:42 p.m.