Triple

T5310749
Position Surface form Disambiguated ID Type / Status
Subject Poet Laureate of the United Kingdom E119020 entity
Predicate hasHolder P1911 FINISHED
Object John Dryden E125632 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 Dryden | Statement: [Poet Laureate of the United Kingdom, hasHolder, John Dryden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Dryden
Context triple: [Poet Laureate of the United Kingdom, hasHolder, John Dryden]
  • A. John Dryden chosen
    John Dryden was a leading 17th-century English poet, playwright, and critic who became the dominant literary figure of the Restoration era and the first official Poet Laureate of England.
  • B. Dryden
    Dryden is a small city in northwestern Ontario, Canada, known historically for its forestry and paper mill industries.
  • C. Dryden
    Dryden is a small village in Tompkins County, New York, known for its rural character and proximity to the city of Ithaca.
  • D. Abraham Cowley
    Abraham Cowley was a 17th-century English poet and essayist known for his metaphysical style and influential role in the development of Renaissance and Cavalier poetry.
  • E. John Gay
    John Gay was an 18th-century English poet and dramatist best known for his ballad opera "The Beggar's Opera."
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd85343ae08190bd9801ea4eac7003 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf188988688190b4b08b5e0cda8cf5 completed March 21, 2026, 10:15 p.m.
Created at: March 20, 2026, 1:53 p.m.