Triple

T19118107
Position Surface form Disambiguated ID Type / Status
Subject Richard Talbot E467960 entity
Predicate name P16 FINISHED
Object Richard Talbot 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: Richard Talbot | Statement: [Richard Talbot, name, Richard Talbot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Talbot
Context triple: [Richard Talbot, name, Richard Talbot]
  • A. Richard Talbot chosen
    Richard Talbot was a 17th-century Irish soldier and statesman who became a leading Jacobite figure and Lord Deputy of Ireland under King James II.
  • B. Edward Talbot
    Edward Talbot was an Anglican clergyman who became the inaugural Bishop of Southwark in the Church of England.
  • C. John Michael Talbot
    John Michael Talbot is an American Christian musician, composer, and founder of a monastic community, known for his influential contemporary Catholic worship music.
  • D. John Tyrrell
    John Tyrrell was an American character actor known for his numerous supporting roles in 1930s and 1940s Hollywood films, often appearing in comedies and crime dramas.
  • E. Richard Hartnett
    Richard Hartnett is an individual notable enough to be specifically cited as a bearer of the surname Hartnett, though detailed public information about his life or achievements is limited.
  • 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3c756a88190942930e6ae7242a7 completed April 20, 2026, 8:28 a.m.
Created at: April 10, 2026, 12:05 p.m.