Triple

T10207080
Position Surface form Disambiguated ID Type / Status
Subject The Dick Van Dyke Show E242223 entity
Predicate themeMusicComposer P1952 FINISHED
Object Earle Hagen E99779 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: Earle Hagen | Statement: [The Dick Van Dyke Show, themeMusicComposer, Earle Hagen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Earle Hagen
Context triple: [The Dick Van Dyke Show, themeMusicComposer, Earle Hagen]
  • A. Earle Hagen chosen
    Earle Hagen was an American composer and arranger best known for his iconic television themes, including the whistled opening of The Andy Griffith Show.
  • B. Alfred Newman
    Alfred Newman was a prominent American film composer and conductor, renowned for his influential work in Hollywood’s Golden Age and for winning multiple Academy Awards for his scores.
  • C. Bernard Newman
    Bernard Newman was an American costume designer best known for his glamorous work in 1930s Hollywood musicals and films.
  • D. Victor Young
    Victor Young was an American composer, arranger, and conductor best known for his prolific film scores and popular songs during Hollywood’s Golden Age.
  • E. Elmer Bernstein
    Elmer Bernstein was an American composer renowned for his prolific and influential film scores across genres, including classics like "The Ten Commandments," "The Magnificent Seven," and "To Kill a Mockingbird."
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d395f774008190ae38823651e45264 completed April 6, 2026, 11:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6a7e63c588190b239f8bdb13a3f3c completed April 8, 2026, 7:09 p.m.
Created at: April 6, 2026, 10:55 a.m.