Triple

T5778821
Position Surface form Disambiguated ID Type / Status
Subject Silver Linings Playbook E127506 entity
Predicate editor 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: [Silver Linings Playbook, editor, Jay Cassidy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jay Cassidy
Context triple: [Silver Linings Playbook, editor, 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. Cory Hanson
    Cory Hanson is an American musician and songwriter best known as the frontman and primary creative force of the experimental rock band Wand.
  • D. 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."
  • E. Ryan Cassidy
    Ryan Cassidy is an American actor and production designer, and the son of actress Shirley Jones and actor Jack Cassidy.
  • 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_69c008361fa88190aefa4dc41b051e7f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029e107348190a03086f1cbfae0d3 completed March 22, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e735f408190b188b94131f1e51b completed March 22, 2026, 11:42 p.m.
Created at: March 22, 2026, 3:50 p.m.