Triple

T11885114
Position Surface form Disambiguated ID Type / Status
Subject John Herndon Mercer E282759 entity
Predicate coFounderWith P2835 FINISHED
Object Buddy 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: Buddy DeSylva | Statement: [John Herndon Mercer, coFounderWith, Buddy DeSylva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buddy DeSylva
Context triple: [John Herndon Mercer, coFounderWith, Buddy 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. Vernon Duke
    Vernon Duke was a Russian-American composer and songwriter best known for standards like "April in Paris" and "Autumn in New York."
  • C. Tony Dorsey
    Tony Dorsey is a trombonist best known for his work as a touring and session musician, including performing with Paul McCartney and Wings in the 1970s.
  • D. Vincent Youmans
    Vincent Youmans was an American Broadway and film composer of the early 20th century, best known for classic standards such as "Tea for Two" and "Hallelujah!"
  • E. Don Dorsey
    Don Dorsey is an American audio producer and entertainment designer best known for creating and directing groundbreaking nighttime spectaculars for Disney theme parks.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8d3a02ad4819090faef0e0be732ee completed April 10, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69f43fd661f481909b1f7609540e42d7 completed May 1, 2026, 5:53 a.m.
Created at: April 8, 2026, 9:44 p.m.