Triple

T23205197
Position Surface form Disambiguated ID Type / Status
Subject Edward Tuck E580433 entity
Predicate name P16 FINISHED
Object Edward Tuck 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: Edward Tuck | Statement: [Edward Tuck, name, Edward Tuck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edward Tuck
Context triple: [Edward Tuck, name, Edward Tuck]
  • A. Edward Tuck chosen
    Edward Tuck was an American banker and philanthropist best known for endowing Dartmouth College’s graduate business school, which was named the Tuck School of Business in his honor.
  • B. John Ternouth
    John Ternouth was a 19th-century British sculptor best known for creating the bronze reliefs that adorn Nelson's Column in Trafalgar Square, London.
  • C. Edward Talbot
    Edward Talbot was an Anglican clergyman who became the inaugural Bishop of Southwark in the Church of England.
  • D. Charles Tansley
    Charles Tansley is a socially awkward, ambitious young scholar in Virginia Woolf’s novel "To the Lighthouse," often remembered for his insecurity and misogynistic attitudes.
  • E. Joseph Scudder
    Joseph Scudder was a 19th-century American missionary known for his evangelical and educational work in India.
  • 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_69e24602ae1481908aaa6bc7ca493867 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1907c1d7c8190aca252a39ae0da86 completed April 29, 2026, 5 a.m.
Created at: April 17, 2026, 4:07 p.m.