Triple

T350619
Position Surface form Disambiguated ID Type / Status
Subject Claudine E7433 entity
Predicate hasVariant P455 FINISHED
Object Claudina E14367 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: Claudina | Statement: [Claudine, hasVariant, Claudina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claudina
Context triple: [Claudine, hasVariant, Claudina]
  • A. Clementina
    Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
  • B. Claudia chosen
    Claudia is a feminine given name used in various cultures, derived from the ancient Roman family name Claudius.
  • C. Luisa
    Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
  • D. Paola
    Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
  • E. Fausta
    Fausta was a Roman empress, daughter of Emperor Maximian, and the second wife of Constantine the Great, whose controversial execution has long intrigued historians.
  • 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_69a2e7e696948190bebc966535995e45 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2eb1f028c819098fa6480b4ca5cf0 completed Feb. 28, 2026, 1:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a44f5030f481908af8aa1d361b8124 completed March 1, 2026, 2:38 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.