Triple

T7074772
Position Surface form Disambiguated ID Type / Status
Subject Buddy DeSylva E164788 entity
Predicate familyName P18 FINISHED
Object DeSylva E164788 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: DeSylva | Statement: [Buddy DeSylva, familyName, DeSylva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DeSylva
Context triple: [Buddy DeSylva, familyName, DeSylva]
  • A. Buddy DeSylva chosen
    Buddy DeSylva was an American songwriter, film producer, and music executive who co-founded Capitol Records and played a key role in shaping popular music in the early 20th century.
  • B. Irving Mills
    Irving Mills was an influential American music publisher, lyricist, and jazz impresario best known for his close collaboration with Duke Ellington and promotion of early jazz.
  • C. Al Cohn
    Al Cohn was an American jazz tenor saxophonist, arranger, and composer known for his cool-toned style and influential work in the post–World War II jazz scene.
  • D. Bacharach
    Bacharach is a historic wine-growing town on the Rhine River in Germany, renowned for its well-preserved medieval architecture and picturesque riverside setting.
  • E. Gus Kahn
    Gus Kahn was a prominent early 20th-century American lyricist known for writing enduring popular standards for Tin Pan Alley and Hollywood 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_69c6887cbc6c8190bdfac42d940f4d8a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4ccb42c81909f5627aa97db7a84 completed March 27, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c794641dd481908df979600b7a8e92 completed March 28, 2026, 8:42 a.m.
Created at: March 27, 2026, 2:39 p.m.