Triple

T10355531
Position Surface form Disambiguated ID Type / Status
Subject The Pledge E243989 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: [The Pledge, editor, Jay Cassidy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jay Cassidy
Context triple: [The Pledge, 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. Tyler Dawson
    Tyler Dawson is a central character in the 1938 adventure film "Spawn of the North," set in the rugged Alaskan frontier.
  • D. Andrew Furey
    Andrew Furey is a Canadian orthopedic surgeon and politician who serves as the premier of the province of Newfoundland and Labrador.
  • E. Morgan O'Mally
    Morgan O'Mally is a close friend of Will Hunting in the film "Good Will Hunting," known as one of the loyal South Boston buddies in his social circle.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e953d4888190b7ca0ac932349dbf completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750a9b4188190a8ecdd9e4d97570b completed April 9, 2026, 7:09 a.m.
Created at: April 6, 2026, 11:58 a.m.