Triple

T11480374
Position Surface form Disambiguated ID Type / Status
Subject The Hasty Hare E272126 entity
Predicate backgroundArtist P21901 FINISHED
Object Philip DeGuard E935196 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: Philip DeGuard | Statement: [The Hasty Hare, backgroundArtist, Philip DeGuard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philip DeGuard
Context triple: [The Hasty Hare, backgroundArtist, Philip DeGuard]
  • A. Philip DeGuard chosen
    Philip DeGuard was an American animation background artist best known for his richly detailed and stylized work on classic Warner Bros. cartoons.
  • B. Joe Dougherty
    Joe Dougherty was an American voice actor best known for originating the voice of the Warner Bros. cartoon character Porky Pig in the 1930s.
  • C. Phil DeGuere
    Phil DeGuere was an American television producer, writer, and director best known for his work on series such as Simon & Simon and the 1980s revival of The Twilight Zone.
  • D. Bill Dees
    Bill Dees was an American songwriter best known for co-writing several hit songs with Roy Orbison, including the classic rock and roll track "Oh, Pretty Woman."
  • E. Phil Morrow
    Phil Morrow is a television producer known for his work in developing and producing various entertainment and factual programs.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8294f0e948190b2e106beb86e4b2c completed April 9, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69f416f5e0588190b432a48bbbc6c762 completed May 1, 2026, 2:59 a.m.
Created at: April 8, 2026, 9:36 p.m.