Triple

T6229007
Position Surface form Disambiguated ID Type / Status
Subject Llewelyn E139305 entity
Predicate hasVariant P455 FINISHED
Object Leolin E578377 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: Leolin | Statement: [Llewelyn, hasVariant, Leolin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leolin
Context triple: [Llewelyn, hasVariant, Leolin]
  • A. Lewelin chosen
    Lewelin is a variant spelling of the Welsh given name Llewelyn, historically borne by several medieval Welsh princes and nobles.
  • B. Dorohusk
    Dorohusk is a village in eastern Poland near the Ukrainian border, known as an important road and rail border crossing point between the two countries.
  • C. Nelion
    Nelion is one of the main twin summits of Mount Kenya, renowned among climbers for its challenging rock routes and high-altitude alpine terrain.
  • D. Éliante
    Éliante is a thoughtful and moderate young woman in Molière’s play *Le Misanthrope*, often seen as the voice of reason and a foil to the more extreme characters.
  • E. Lord Bilimoria
    Lord Bilimoria is a British-Indian entrepreneur and life peer best known as the founder of Cobra Beer and a prominent figure in UK business and higher education.
  • 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_69c008afd3148190b71e9eaa60420dd1 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062d841a88190b67a8045cdaadf44 completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c243f785dc819084d2a11151d84227 completed March 24, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:22 p.m.