Triple

T11416052
Position Surface form Disambiguated ID Type / Status
Subject Daws Butler E270494 entity
Predicate name P16 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: [Daws Butler, name, Daws Butler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daws Butler
Context triple: [Daws Butler, name, 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801ae47d0819098123505309c4a68 completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e624600e0081909cc6f53c05a34efb completed April 20, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:34 p.m.