Triple

T21971107
Position Surface form Disambiguated ID Type / Status
Subject The Last Unicorn E542588 entity
Predicate voiceActor P1507 FINISHED
Object Rene Auberjonois 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: Rene Auberjonois | Statement: [The Last Unicorn, voiceActor, Rene Auberjonois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rene Auberjonois
Context triple: [The Last Unicorn, voiceActor, Rene Auberjonois]
  • A. Rene Auberjonois chosen
    Rene Auberjonois was an American actor best known for his character roles in film and television, including his portrayal of Odo on "Star Trek: Deep Space Nine."
  • B. Sam Hamill
    Sam Hamill was an American poet, translator, and co-founder of Copper Canyon Press, renowned for his English translations of classical Japanese literature and poetry.
  • C. Seymour Cassel
    Seymour Cassel was an American character actor known for his longtime collaboration with director John Cassavetes and his roles in numerous independent and mainstream films.
  • D. Yannick Bisson
    Yannick Bisson is a Canadian actor best known for starring as Detective William Murdoch in the long-running television series "Murdoch Mysteries."
  • E. Peter D. Graves
    Peter D. Graves is a film producer best known for his work on major Hollywood action and science fiction movies, including Terminator Salvation.
  • 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_69e0c48070988190909db97667b9a0ac completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12484b83081908c08e3285e0b14a9 completed April 28, 2026, 9:20 p.m.
Created at: April 16, 2026, 8:02 p.m.