Triple

T6020583
Position Surface form Disambiguated ID Type / Status
Subject Paradise Lost E134051 entity
Predicate author P4 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: [Paradise Lost, author, John Milton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Milton
Context triple: [Paradise Lost, author, 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. John Milton Jr.
    John Milton Jr. is the brother of Mary Milton, about whom little else is publicly documented.
  • C. Andrew Marvell
    Andrew Marvell was a 17th-century English metaphysical poet and politician best known for works such as "To His Coy Mistress" and for his role as a Parliamentarian during the English Civil War and Restoration.
  • 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 (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_69c008742a5c8190b9cb9c2787a3d8b3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04fba86a48190984e95d5adf7c7f1 completed March 22, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1136da26081909b753fa8a2a91084 completed March 23, 2026, 10:18 a.m.
Created at: March 22, 2026, 4:07 p.m.