Triple

T3203074
Position Surface form Disambiguated ID Type / Status
Subject Queen Guinevere E67095 entity
Predicate hasVariantName P457 FINISHED
Object Guenever E67095 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: Guenever | Statement: [Queen Guinevere, hasVariantName, Guenever]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guenever
Context triple: [Queen Guinevere, hasVariantName, Guenever]
  • A. Igraine
    Igraine is a noblewoman of Arthurian legend best known as the wife of Uther Pendragon and the mother of King Arthur.
  • B. Queen Guinevere chosen
    Queen Guinevere is the legendary queen consort of King Arthur, renowned in Arthurian literature for her beauty, nobility, and central role in the courtly and romantic intrigues of Camelot.
  • C. Morgan le Fay
    Morgan le Fay is a powerful enchantress of Arthurian legend, often depicted as King Arthur’s half-sister and a complex figure who alternates between adversary and ally to the knights of the Round Table.
  • D. Elaine of Benoic
    Elaine of Benoic is a noblewoman in Arthurian legend best known as the mother of Sir Lancelot and the wife of King Ban of Benoic.
  • E. Ermintrude
    Ermintrude is a Germanic female given name of Old High German origin, historically meaning “whole” or “universal strength.”
  • 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada9b188a88190b7b5e9b3be9410db completed March 8, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2770201888190af6cbeded6d1ae56 completed March 12, 2026, 8:19 a.m.
Created at: March 8, 2026, 3:07 p.m.