Triple

T18926073
Position Surface form Disambiguated ID Type / Status
Subject Charles Logan E462973 entity
Predicate portrayedBy P1507 FINISHED
Object Gregory Itzin 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: Gregory Itzin | Statement: [Charles Logan, portrayedBy, Gregory Itzin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gregory Itzin
Context triple: [Charles Logan, portrayedBy, Gregory Itzin]
  • A. Gregory Itzin chosen
    Gregory Itzin was an American character actor best known for his Emmy-nominated role as President Charles Logan on the television series "24."
  • B. Eugene Cordero
    Eugene Cordero is an American actor and comedian known for his roles in television series such as "The Good Place," "Kong: Skull Island," and various voice performances in animated shows.
  • C. Brian Pimental
    Brian Pimental is an American animator, storyboard artist, and director known for his work on several major Disney animated films, including contributing to the story of Beauty and the Beast.
  • D. Joe Godino
    Joe Godino is the drummer for the American punk rock band The Menzingers.
  • E. Daniel Lugo
    Daniel Lugo is the ambitious, bodybuilding ringleader of the criminal scheme at the center of the dark comedy crime film "Pain & Gain."
  • 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c9b94e008190a0e9a70aaf6d18ed completed April 20, 2026, 6:37 a.m.
Created at: April 10, 2026, 11:59 a.m.