Triple

T11990872
Position Surface form Disambiguated ID Type / Status
Subject Dumbo (1941 film) E285400 entity
Predicate screenwriter P2831 FINISHED
Object Dick Huemer E339869 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: Dick Huemer | Statement: [Dumbo (1941 film), screenwriter, Dick Huemer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dick Huemer
Context triple: [Dumbo (1941 film), screenwriter, Dick Huemer]
  • A. Dick Huemer chosen
    Dick Huemer was an American animator, storyboard artist, and writer best known for his influential work at Disney on classic animated features.
  • B. Stephen Hicks
    Stephen Hicks is a Canadian-American philosopher known for his work on postmodernism, objectivism, and the intellectual history of modern and contemporary thought.
  • C. Lew Rockwell
    Lew Rockwell is an American libertarian author, activist, and founder of the Mises Institute, known for promoting Austrian economics and anarcho-capitalist ideas.
  • D. John Derbyshire
    John Derbyshire is a British-born American writer and commentator known for his popular mathematics books and controversial political essays.
  • E. Allen Coulter
    Allen Coulter is an American film and television director best known for his stylish, character-driven work on series like The Sopranos and Boardwalk Empire as well as feature films.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903afe4388190a2cf2328e85adf9b completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f47257911481909d6bd72535eefdbd completed May 1, 2026, 9:28 a.m.
Created at: April 8, 2026, 9:46 p.m.