Triple

T11518130
Position Surface form Disambiguated ID Type / Status
Subject Carlo Mazzone E273084 entity
Predicate familyName P18 FINISHED
Object Mazzone E273084 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: Mazzone | Statement: [Carlo Mazzone, familyName, Mazzone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mazzone
Context triple: [Carlo Mazzone, familyName, Mazzone]
  • A. Mazzulla
    Mazzulla is a surname most prominently associated with American basketball coaches and players, including NBA head coach Joe Mazzulla.
  • B. Zuccarello
    Zuccarello is a small historic village in the Liguria region of northwestern Italy, known for its medieval architecture and picturesque setting.
  • C. Carlo Mazzone chosen
    Carlo Mazzone was a renowned Italian football manager known for his long Serie A career and his influential work developing clubs and players across Italy.
  • 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. Montella
    Montella is a town in southern Italy’s Campania region, known for its mountainous setting and chestnut production.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fcf927081908ef89eff7ad833b0 completed April 10, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e62530a6b08190a8ba3c410e79cf72 completed April 20, 2026, 1:08 p.m.
Created at: April 8, 2026, 9:36 p.m.