Triple

T22572053
Position Surface form Disambiguated ID Type / Status
Subject Coco Chanel (TV film) E558097 entity
Predicate cinematographer P1953 FINISHED
Object Fabio Zamarion 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: Fabio Zamarion | Statement: [Coco Chanel (TV film), cinematographer, Fabio Zamarion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fabio Zamarion
Context triple: [Coco Chanel (TV film), cinematographer, Fabio Zamarion]
  • A. Fabio Zamarion chosen
    Fabio Zamarion is an Italian cinematographer known for his work on acclaimed contemporary Italian films.
  • B. Tony Azevedo
    Tony Azevedo is an American water polo legend and five-time Olympian widely regarded as one of the greatest players in the sport’s history.
  • C. Fabricio Oberto
    Fabricio Oberto is a retired Argentine professional basketball center best known for winning an NBA championship with the San Antonio Spurs and being part of Argentina’s golden generation that won Olympic gold in 2004.
  • D. Luis Fabiano
    Luis Fabiano is a Brazilian former professional footballer best known as a prolific striker for Sevilla and the Brazil national team.
  • E. Jorge Arantes
    Jorge Arantes is a Portuguese former journalist best known as the first husband of author J. K. Rowling.
  • 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_69e11e5ae4ac8190b1f503457603d969 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15fe958e881909b58a5439f2c6a35 completed April 29, 2026, 1:33 a.m.
Created at: April 16, 2026, 8:52 p.m.