Triple

T21229906
Position Surface form Disambiguated ID Type / Status
Subject The Man Inside E523179 entity
Predicate starring P1507 FINISHED
Object Peter Coyote 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: Peter Coyote | Statement: [The Man Inside, starring, Peter Coyote]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Coyote
Context triple: [The Man Inside, starring, Peter Coyote]
  • A. Peter Coyote chosen
    Peter Coyote is an American actor and narrator known for his distinctive voice and roles in numerous films and documentaries.
  • B. Ken Sanzel
    Ken Sanzel is an American screenwriter, producer, and former New York City police officer best known for his work in action films and television, including creating the series "Numb3rs."
  • C. Kenneth Finley
    Kenneth Finley is the central protagonist of the television series "My Generation," around whom the show's narrative and character dynamics revolve.
  • D. Brian Doyle-Murray
    Brian Doyle-Murray is an American actor, comedian, and writer known for his character roles in films and television and for being the older brother of Bill Murray.
  • E. Wallace Shawn
    Wallace Shawn is an American character actor, playwright, and essayist known for his distinctive voice and roles in films such as "The Princess Bride" and "My Dinner with Andre."
  • 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_69e0b512ad94819087942b2ed925185f completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734ae60408190a9480b27d109b8fc completed April 21, 2026, 8:26 a.m.
Created at: April 16, 2026, 3:45 p.m.