Triple

T3127675
Position Surface form Disambiguated ID Type / Status
Subject Every Hour E65334 entity
Predicate musicBy P1952 FINISHED
Object Jason White E331050 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: Jason White | Statement: [Every Hour, musicBy, Jason White]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jason White
Context triple: [Every Hour, musicBy, Jason White]
  • A. Jason White
    Jason White is an American punk rock guitarist best known for his work with Green Day and various side projects in the East Bay punk scene.
  • B. Jason White chosen
    Jason White is a musician and songwriter known for his work composing contemporary Christian and gospel music.
  • C. Erik White
    Erik White is an American music video director known for helming numerous high-profile hip-hop and R&B videos in the 2000s and beyond.
  • D. James White
    James White was a 19th-century American Christian minister and co-founder of the Seventh-day Adventist movement, known for his leadership, publishing work, and organizational role in establishing the denomination.
  • E. Tom White
    Tom White was an American philanthropist best known for funding and co-founding the global health organization Partners In Health and its flagship clinic network Zanmi Lasante in Haiti.
  • 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_69ad8580c72481909672d37acf647893 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada546a6648190bc4bc3e599e6aa95 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b335d748190a70ca2e519792a62 completed March 12, 2026, 5:12 a.m.
Created at: March 8, 2026, 3:04 p.m.