Triple

T18554377
Position Surface form Disambiguated ID Type / Status
Subject Capezio Dance Award E453462 entity
Predicate organizer P123 FINISHED
Object Capezio 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: Capezio | Statement: [Capezio Dance Award, organizer, Capezio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Capezio
Context triple: [Capezio Dance Award, organizer, Capezio]
  • A. Capezio chosen
    Capezio is a renowned American manufacturer of dance shoes, apparel, and accessories widely used by dancers worldwide.
  • B. Calzabigi
    Calzabigi is the surname of Ranieri de’ Calzabigi, an 18th-century Italian poet and librettist known for his influential collaborations with composer Christoph Willibald Gluck in reforming opera.
  • C. Scarlino
    Scarlino is a historic Tuscan town in central Italy, known for its medieval hilltop setting overlooking the Tyrrhenian coast.
  • D. Capiznon
    Capiznon is an Austronesian language spoken primarily in the province of Capiz on Panay Island in the central Philippines.
  • E. Mazzantini
    Mazzantini is an Italian surname most notably borne by the contemporary novelist and actress Margaret Mazzantini.
  • 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_69d8d388b0c881908e610a1c45b52640 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5380341548190873eeb92f86bd6fe completed April 19, 2026, 8:16 p.m.
Created at: April 10, 2026, 11:38 a.m.