Triple

T3197199
Position Surface form Disambiguated ID Type / Status
Subject Spellbound E66961 entity
Predicate castMember P1668 FINISHED
Object John Emery E164721 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: John Emery | Statement: [Spellbound, castMember, John Emery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Emery
Context triple: [Spellbound, castMember, John Emery]
  • A. John Emery chosen
    John Emery was an American stage, film, and television actor active in the mid-20th century, often cast in sophisticated or villainous supporting roles.
  • B. John Emory
    John Emory was a 19th-century American Methodist bishop after whom Emory College (now Emory University) was named.
  • C. Henry Dailey
    Henry Dailey is the retired horse trainer who becomes the mentor and caretaker of the wild stallion and its young rider in Walter Farley’s "The Black Stallion" series.
  • D. Reg Empey
    Reg Empey is a Northern Irish unionist politician who served as leader of the Ulster Unionist Party and held several ministerial and legislative roles in the region’s devolved government.
  • E. Sylvester Keliher
    Sylvester Keliher was a prominent labor leader associated with the American Railway Union, an influential early industrial union in the United States.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada7192994819084817307065a25e2 completed March 8, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e822b64c8190b053234690841d38 completed March 12, 2026, 4:21 p.m.
Created at: March 8, 2026, 3:07 p.m.