Triple

T4374593
Position Surface form Disambiguated ID Type / Status
Subject State of the Union E98973 entity
Predicate musicBy P1952 FINISHED
Object Victor Young E119258 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: Victor Young | Statement: [State of the Union, musicBy, Victor Young]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victor Young
Context triple: [State of the Union, musicBy, Victor Young]
  • A. Victor Young chosen
    Victor Young was an American composer, arranger, and conductor best known for his prolific film scores and popular songs during Hollywood’s Golden Age.
  • B. Herbert Stothart
    Herbert Stothart was an American composer and arranger best known for his Academy Award–winning film scores during Hollywood’s Golden Age, including his work at MGM on classics like The Wizard of Oz.
  • C. Earle Hagen
    Earle Hagen was an American composer and arranger best known for his iconic television themes, including the whistled opening of The Andy Griffith Show.
  • D. Bernard Newman
    Bernard Newman was an American costume designer best known for his glamorous work in 1930s Hollywood musicals and films.
  • E. Jerome Moross
    Jerome Moross was an American composer best known for his sweeping, Americana-infused film scores and concert works, particularly in the Western genre.
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352222df48190bead639e99635faf completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69bb80ac75448190a2f6724c11eabef3 completed March 19, 2026, 4:50 a.m.
Created at: March 12, 2026, 11:18 p.m.