Triple

T6379920
Position Surface form Disambiguated ID Type / Status
Subject The Search for Everything E143553 entity
Predicate composer P1361 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: [The Search for Everything, composer, John Mayer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Mayer
Context triple: [The Search for Everything, composer, 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_69c008d9f4348190ab598a2913259a1c completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0685029488190911fb24c470b6f0d completed March 22, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c769d6f40c8190a59df50d44c50cea completed March 28, 2026, 5:40 a.m.
Created at: March 22, 2026, 4:33 p.m.