Triple

T4462631
Position Surface form Disambiguated ID Type / Status
Subject Edmund Spenser E98292 entity
Predicate familyName P18 FINISHED
Object 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: Spenser | Statement: [Edmund Spenser, familyName, Spenser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spenser
Context triple: [Edmund Spenser, familyName, Spenser]
  • A. Campion
    Campion is a surname most notably associated with New Zealand film director and screenwriter Jane Campion, acclaimed for works such as "The Piano."
  • B. Edmund Spenser chosen
    Edmund Spenser was a major English Renaissance poet best known for his epic allegorical poem "The Faerie Queene."
  • C. Arthur Brooke
    Arthur Brooke was a 16th-century English poet best known for writing the narrative poem that served as the primary source for Shakespeare’s "Romeo and Juliet."
  • D. Lydgate
    Lydgate is a small village in the civil parish of Saddleworth, within the Metropolitan Borough of Oldham in Greater Manchester, England.
  • E. 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."
  • 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_69b3454a7c608190944f5455c8031d73 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3567716a4819092a5bc9732e74592 completed March 13, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6284b90708190b557b66bd7533f4e completed March 15, 2026, 3:32 a.m.
Created at: March 12, 2026, 11:34 p.m.