Triple

T2982217
Position Surface form Disambiguated ID Type / Status
Subject An Inconvenient Truth E80537 entity
Predicate editedBy P1954 FINISHED
Object Jay Cassidy E127506 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: Jay Cassidy | Statement: [An Inconvenient Truth, editedBy, Jay Cassidy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jay Cassidy
Context triple: [An Inconvenient Truth, editedBy, Jay Cassidy]
  • A. Jay Cassidy chosen
    Jay Cassidy is an American film editor known for his work on acclaimed movies such as "Silver Linings Playbook."
  • B. Syd Cassyd
    Syd Cassyd was an American television executive and visionary best known for founding the International Academy of Television Arts & Sciences, which administers the International Emmy Awards.
  • C. Dylan Tichenor
    Dylan Tichenor is an American film editor known for his work on acclaimed films such as "There Will Be Blood," "Boogie Nights," and "The Royal Tenenbaums."
  • D. Ryan Cassidy
    Ryan Cassidy is an American actor and production designer, and the son of actress Shirley Jones and actor Jack Cassidy.
  • E. Mitchell Alsup
    Mitchell Alsup is a computer engineer best known as one of the founders of Transmeta, a company that developed innovative low-power microprocessor technologies.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99a1ed44819085ae6d39943db1d9 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108f5e5c88190b9dd0a67cb159854 completed March 11, 2026, 6:17 a.m.
Created at: March 8, 2026, 2:58 p.m.