Triple

T11386619
Position Surface form Disambiguated ID Type / Status
Subject The Yogi Bear Show E269728 entity
Predicate hasVoiceActor P83203 FINISHED
Object Daws Butler E270494 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: Daws Butler | Statement: [The Yogi Bear Show, hasVoiceActor, Daws Butler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daws Butler
Context triple: [The Yogi Bear Show, hasVoiceActor, Daws Butler]
  • A. Daws Butler chosen
    Daws Butler was a prominent American voice actor best known for bringing to life numerous classic Hanna-Barbera cartoon characters, including Yogi Bear, Huckleberry Hound, and many others.
  • B. Clarence Nash
    Clarence Nash was an American voice actor best known as the original voice of Disney’s Donald Duck.
  • C. Paul Frees
    Paul Frees was a prolific American voice actor known for his work in classic animated films, television specials, and theme park attractions, often referred to as "The Man of a Thousand Voices."
  • D. Mel Blanc
    Mel Blanc was a legendary American voice actor best known for bringing to life numerous iconic Looney Tunes characters, including Bugs Bunny, Daffy Duck, and Porky Pig.
  • E. Fred Gwynne
    Fred Gwynne was an American actor and illustrator best known for his comedic television roles, particularly as Herman Munster on the 1960s sitcom "The Munsters."
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc378d808190b587a044ede67e1e completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e603d2320c81909ed6946c7b7dfb36 completed April 20, 2026, 10:45 a.m.
Created at: April 8, 2026, 9:34 p.m.