Triple

T22707069
Position Surface form Disambiguated ID Type / Status
Subject Translations E561482 entity
Predicate hasCharacter P2308 FINISHED
Object Maire NE NERFINISHED

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: Maire | Statement: [Translations, hasCharacter, Maire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maire
Context triple: [Translations, hasCharacter, Maire]
  • A. Maire
    Maire is the French term for a municipality’s chief elected official, equivalent to a mayor.
  • B. Maire chosen
    Maire is a given name, commonly used as an Irish or Scottish Gaelic form of Mary.
  • C. Ailbhe
    Ailbhe is an Irish Gaelic given name, traditionally used for both males and females and often anglicized as Alva.
  • D. Riona
    Riona is the official mascot character of the Samsung Lions, a professional baseball team in South Korea.
  • E. Máire
    Máire is an Irish female given name, traditionally the Irish form of Mary and widely used in Irish-speaking communities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454f1348819088d83f420925a5c1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178cff7588190a40c8cef0f3cd44a completed April 29, 2026, 3:19 a.m.
Created at: April 17, 2026, 3:17 p.m.