Triple

T15596276
Position Surface form Disambiguated ID Type / Status
Subject Hal David Starlight Award E374898 entity
Predicate notableRecipient P108 FINISHED
Object John Mayer E26841 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: John Mayer | Statement: [Hal David Starlight Award, notableRecipient, John Mayer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Mayer
Context triple: [Hal David Starlight Award, notableRecipient, John Mayer]
  • A. John Mayer chosen
    John Mayer is an American singer-songwriter and virtuoso guitarist known for blending blues, rock, and pop in both chart-topping hits and acclaimed live performances.
  • B. John D. Mayer
    John D. Mayer is an American psychologist best known for co-developing the theory of emotional intelligence and contributing extensively to personality and emotion research.
  • C. Jason Mraz
    Jason Mraz is an American singer-songwriter known for his laid-back acoustic pop style and hit songs like "I'm Yours" and "I Won't Give Up."
  • D. Ray LaMontagne
    Ray LaMontagne is an American singer-songwriter known for his raspy, soulful voice and folk-influenced acoustic music.
  • E. John Tedder
    John Tedder is known primarily as the son of Arthur Tedder, the prominent British air marshal and senior Royal Air Force commander during World War II.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e5f9db8819083abf80f01f32b3d completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56ca72ec8190a237db843dc6d625 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:12 a.m.