Triple

T13733289
Position Surface form Disambiguated ID Type / Status
Subject Fly or Die E329864 entity
Predicate mainPerformer P1363 FINISHED
Object Shay Haley E314149 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: Shay Haley | Statement: [Fly or Die, mainPerformer, Shay Haley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shay Haley
Context triple: [Fly or Die, mainPerformer, Shay Haley]
  • A. Shay Haley chosen
    Shay Haley is an American musician, producer, and member of the band N.E.R.D., known for his long-time collaboration with Pharrell Williams.
  • B. Shay Hatten
    Shay Hatten is an American screenwriter known for his work on high-octane action films, including entries in the John Wick franchise.
  • C. Riley Shanahan
    Riley Shanahan is an American actor and performer best known for physically portraying Robotman in the television series "Doom Patrol."
  • D. Shay Mooney
    Shay Mooney is an American country-pop singer and songwriter best known as one half of the Grammy-winning duo Dan + Shay.
  • E. Haley Jones
    Haley Jones is an American basketball player best known for starring at Stanford University, where she led the Cardinal to a national championship and emerged as one of the top collegiate guards in the country.
  • 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de0201d3c48190aa306be231a28bc1 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d66cb088190be2621753d0a6740 completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:55 p.m.