Triple

T22102635
Position Surface form Disambiguated ID Type / Status
Subject The Alibi E546207 entity
Predicate editor P1954 FINISHED
Object Jay Cassidy 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 Cassidy | Statement: [The Alibi, editor, Jay Cassidy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jay Cassidy
Context triple: [The Alibi, 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. Amy Cassidy
    Amy Cassidy is a fictional character from the early 1980s American sitcom "Bosom Buddies," which followed two men disguising themselves as women to live in a women-only apartment building.
  • C. 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.
  • D. Simon Dawson
    Simon Dawson is a music producer and engineer known for his work on notable rock recordings, including tracks by The Stone Roses.
  • E. Andrew McClary
    Andrew McClary was a New Hampshire militia major and patriot officer in the American Revolutionary War, noted for his role and death at the Battle of Bunker Hill.
  • 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129163b908190b63ace06016f4db8 completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.