Triple

T18000020
Position Surface form Disambiguated ID Type / Status
Subject Jay Graydon E430603 entity
Predicate name P16 FINISHED
Object Jay Graydon NE NERFINISHED

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: Jay Graydon | Statement: [Jay Graydon, name, Jay Graydon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jay Graydon
Context triple: [Jay Graydon, name, Jay Graydon]
  • A. Jay Graydon chosen
    Jay Graydon is an American guitarist, songwriter, and Grammy-winning producer known for his sophisticated pop and jazz fusion work with artists such as Steely Dan, Al Jarreau, and Airplay.
  • B. Raymond Hood
    Raymond Hood was a prominent early 20th-century American architect known for his influential skyscraper designs and contributions to the Art Deco style.
  • C. Gordon Beck
    Gordon Beck was an influential English jazz pianist and composer known for his sophisticated harmonic approach and collaborations with leading fusion and modern jazz musicians.
  • D. Joel McNeely
    Joel McNeely is an American composer and conductor best known for his work on film and television scores, including numerous projects for Disney and other major studios.
  • E. Michael Waldron
    Michael Waldron is an American screenwriter and producer best known for his work on Marvel projects such as the Disney+ series "Loki" and the film "Doctor Strange in the Multiverse of Madness."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b3e75e908190a6ff6a3ec6069ff5 completed April 19, 2026, 10:52 a.m.
Created at: April 10, 2026, 10:23 a.m.