Triple

T23339624
Position Surface form Disambiguated ID Type / Status
Subject Heavy Metal (film) E591698 entity
Predicate voiceCastMember P9616 FINISHED
Object Eugene Levy 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: Eugene Levy | Statement: [Heavy Metal (film), voiceCastMember, Eugene Levy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eugene Levy
Context triple: [Heavy Metal (film), voiceCastMember, Eugene Levy]
  • A. Eugene Levy chosen
    Eugene Levy is a Canadian actor, comedian, and writer best known for his roles in the American Pie films and the TV series Schitt's Creek.
  • B. Leonard Orbach
    Leonard Orbach was the father of American actor Jerry Orbach and is primarily known in relation to his son’s life and career.
  • C. Michel Drucker
    Michel Drucker is a prominent French television host and producer known for his long-running talk and variety shows on French public and private channels.
  • D. Harold Gould
    Harold Gould was an American character actor best known for his prolific work in film and television from the 1960s through the 1990s, including memorable roles in projects like "The Sting" and the TV series "The Golden Girls."
  • E. Judd Hirsch
    Judd Hirsch is an American actor best known for his Emmy-winning role on the sitcom "Taxi" and his work in film, television, and theater over several decades.
  • 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_69e25d20156c81908c5c53195bd9c738 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f198317f4c8190a557cacb86568d6c completed April 29, 2026, 5:33 a.m.
Created at: April 17, 2026, 5:18 p.m.