Triple

T9266980
Position Surface form Disambiguated ID Type / Status
Subject Olympic Games mascots E222724 entity
Predicate notableExample P1503 FINISHED
Object Vinicius E209290 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: Vinicius | Statement: [Olympic Games mascots, notableExample, Vinicius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vinicius
Context triple: [Olympic Games mascots, notableExample, Vinicius]
  • A. Vinicius chosen
    Vinicius is the yellow, cat-like official mascot of the Rio 2016 Summer Olympics, representing the diverse wildlife and vibrant culture of Brazil.
  • B. Vinícius Júnior
    Vinícius Júnior is a Brazilian professional footballer, renowned as a dynamic winger for Real Madrid and the Brazil national team.
  • C. Ricardo Izecson dos Santos Leite
    Ricardo Izecson dos Santos Leite, better known as Kaká, is a retired Brazilian attacking midfielder who starred for clubs like AC Milan and Real Madrid and won the 2007 Ballon d'Or.
  • D. Richarlison de Andrade
    Richarlison de Andrade is a Brazilian professional footballer, primarily a forward, known for his energetic playing style and key contributions to the Brazil national team and top European clubs.
  • E. Luiz
    Luiz is a given name associated with the German novelist Heinrich Mann.
  • 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_69ca841f2e808190a64f4c31903a1332 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd074bac9481909419988a9e8d9bd5 completed April 1, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09c193b548190afe79d0c84fa2bd3 completed April 4, 2026, 5:05 a.m.
Created at: March 30, 2026, 7:33 p.m.