Triple

T19400278
Position Surface form Disambiguated ID Type / Status
Subject Usnavi de la Vega E485303 entity
Predicate relative P37 FINISHED
Object Sonny 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: Sonny | Statement: [Usnavi de la Vega, relative, Sonny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sonny
Context triple: [Usnavi de la Vega, relative, Sonny]
  • A. Sonny chosen
    Sonny is a witty, socially conscious teenager from the musical "In the Heights," known as Usnavi de la Vega’s younger cousin and bodega assistant in Washington Heights.
  • B. Sonny
    Sonny is an American former sports marketing executive best known for his pioneering work in basketball shoe endorsement deals, including helping launch Nike’s partnership with Michael Jordan.
  • C. Sonny
    Sonny is the nickname of Albert Francis Capone, the only son of notorious American gangster Al Capone.
  • D. Sonny
    Sonny is a character in the 2018 American drama film "Arizona," which blends dark comedy with thriller elements set against the backdrop of the 2009 housing crisis.
  • E. Sonny
    Sonny is a troubled yet gifted jazz musician in James Baldwin's short story "Sonny's Blues," whose struggles with addiction and family conflict drive the narrative's exploration of suffering and redemption.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6257692508190b658928e224d72d7 completed April 20, 2026, 1:09 p.m.
Created at: April 10, 2026, 1:36 p.m.