Triple

T2552177
Position Surface form Disambiguated ID Type / Status
Subject Poets’ Corner E56650 entity
Predicate notableMemorial P501 FINISHED
Object John Milton E22807 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 Milton | Statement: [Poets’ Corner, notableMemorial, John Milton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Milton
Context triple: [Poets’ Corner, notableMemorial, John Milton]
  • A. John Milton chosen
    John Milton was a 17th-century English poet and intellectual best known for his epic poem "Paradise Lost" and his influential political and religious writings.
  • B. Dryden
    Dryden is a small village in Tompkins County, New York, known for its rural character and proximity to the city of Ithaca.
  • C. Dryden
    Dryden is a small city in northwestern Ontario, Canada, known historically for its forestry and paper mill industries.
  • D. Edmund Spenser
    Edmund Spenser was a major English Renaissance poet best known for his epic allegorical poem "The Faerie Queene."
  • E. Percy Bysshe Shelley
    Percy Bysshe Shelley was a major English Romantic poet known for his radical political views, lyrical style, and works such as "Ozymandias" and "Prometheus Unbound."
  • 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_69ab4a4bfec081908039988ec4c86e28 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd30a91348190aea0dbd1efb6f8cc completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d17ecd0819097c6b95307cc7557 completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:48 p.m.