Triple

T17500306
Position Surface form Disambiguated ID Type / Status
Subject King’s Company E426167 entity
Predicate performedWorkOf P37598 FINISHED
Object John Dryden 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: John Dryden | Statement: [King’s Company, performedWorkOf, John Dryden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Dryden
Context triple: [King’s Company, performedWorkOf, 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. Lewis Theobald
    Lewis Theobald was an 18th-century English Shakespearean editor and critic, best known as the original target of Alexander Pope’s satire in The Dunciad.
  • C. Dryden
    Dryden is a small city in northwestern Ontario, Canada, known historically for its forestry and paper mill industries.
  • D. Dryden
    Dryden is a small village in Tompkins County, New York, known for its rural character and proximity to the city of Ithaca.
  • E. Dryden
    Dryden is a surname most famously associated with Ken Dryden, the Hall of Fame Canadian ice hockey goaltender and former politician.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452112ff0819089c2951baba90102 completed April 19, 2026, 3:54 a.m.
Created at: April 10, 2026, 5:48 a.m.