Triple

T2103207
Position Surface form Disambiguated ID Type / Status
Subject John Keats E37134 entity
Predicate influencedBy P9 FINISHED
Object Edmund Spenser E98292 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: Edmund Spenser | Statement: [John Keats, influencedBy, Edmund Spenser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edmund Spenser
Context triple: [John Keats, influencedBy, Edmund Spenser]
  • A. Edmund Spenser chosen
    Edmund Spenser was a major English Renaissance poet best known for his epic allegorical poem "The Faerie Queene."
  • B. Thomas Wyatt
    Thomas Wyatt was a 16th-century English poet and diplomat credited with introducing the sonnet form into English literature during the Renaissance.
  • C. Sir Philip Sidney
    Sir Philip Sidney was a 16th-century English poet, courtier, and soldier renowned for works like "Astrophel and Stella" and "The Defence of Poesy."
  • D. John Gower
    John Gower was a 14th-century English poet known for his major works in multiple languages, including Middle English, Latin, and Anglo-Norman, and for being a contemporary and friend of Geoffrey Chaucer.
  • E. John Milton
    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.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abbabe1e9081908ea66c5406e2f1d9 completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3068189c81909cf76fd1fc2a0fe6 completed March 9, 2026, 2:28 a.m.
Created at: March 4, 2026, 7:43 p.m.