Triple

T14702866
Position Surface form Disambiguated ID Type / Status
Subject Bella Notte E345351 entity
Predicate composer P1361 FINISHED
Object Sonny Burke E720463 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: Sonny Burke | Statement: [Bella Notte, composer, Sonny Burke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sonny Burke
Context triple: [Bella Notte, composer, Sonny Burke]
  • A. Sonny Burke chosen
    Sonny Burke was an American jazz pianist, arranger, and bandleader best known for his prolific work in big band jazz and popular music from the 1940s through the 1960s.
  • B. Red Foley
    Red Foley was a pioneering American country music singer, guitarist, and radio/TV star whose smooth vocal style and gospel recordings helped shape the genre in the mid-20th century.
  • C. Lou Frizzell
    Lou Frizzell was an American character actor and voice actor known for his supporting roles in film and television during the mid-20th century.
  • D. Bobby Helms
    Bobby Helms was an American country singer best known for his enduring Christmas hit "Jingle Bell Rock."
  • E. Bobby Troup
    Bobby Troup was an American jazz pianist, songwriter, and actor best known for penning classic tunes like "Route 66" and for his work in film and television.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb6071e5c8190bb5509c859135c2d completed April 14, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf0861c308190af0b5da403ecb321 completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:28 a.m.