Triple

T18835340
Position Surface form Disambiguated ID Type / Status
Subject Monet Mazur E460649 entity
Predicate familyName P18 FINISHED
Object Mazur 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: Mazur | Statement: [Monet Mazur, familyName, Mazur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mazur
Context triple: [Monet Mazur, familyName, Mazur]
  • A. Mazur chosen
    Mazur is a Polish surname borne by numerous notable individuals in fields such as mathematics, politics, sports, and the arts.
  • B. Martus Mazur
    Martus Mazur is a charming but unscrupulous El-Aurian con artist known from the Star Trek universe, particularly for his schemes on Deep Space 9.
  • C. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • D. Mazz
    Mazz is a pioneering and influential Tejano band known for modernizing the genre with a distinctive blend of traditional Mexican music and contemporary pop sounds.
  • E. Muraz
    Muraz is a village and locality within the municipality of Collombey-Muraz in the canton of Valais, Switzerland.
  • 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a99d491c81909d8e55ac45621d44 completed April 20, 2026, 4:20 a.m.
Created at: April 10, 2026, 11:56 a.m.