Triple

T11235367
Position Surface form Disambiguated ID Type / Status
Subject Bitter Moon E265927 entity
Predicate hasCastMember P2308 FINISHED
Object Peter Coyote E268283 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: Peter Coyote | Statement: [Bitter Moon, hasCastMember, Peter Coyote]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Coyote
Context triple: [Bitter Moon, hasCastMember, 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. 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.
  • C. 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."
  • D. Ken McClure
    Ken McClure is an American politician who serves as the mayor of Springfield, Missouri, overseeing the city's local government and community initiatives.
  • E. Stephen Tobolowsky
    Stephen Tobolowsky is an American character actor and storyteller known for his prolific film and television work, including memorable roles in projects like "Groundhog Day" and numerous other mainstream movies and series.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e904cf888190826fc964f76b5cb2 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4cc5bcff08190830d09c9aa0187b2 completed April 19, 2026, 12:36 p.m.
Created at: April 8, 2026, 9:30 p.m.