Triple

T8795914
Position Surface form Disambiguated ID Type / Status
Subject Games of the XXXI Olympiad E209287 entity
Predicate mascot P52 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: [Games of the XXXI Olympiad, mascot, Vinicius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vinicius
Context triple: [Games of the XXXI Olympiad, mascot, 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_69ca836240888190a62b262e56a69d2f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fa24ca08190a7738a7f1c446456 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfa046aabc8190abca2957593edc8b completed April 3, 2026, 11:11 a.m.
Created at: March 30, 2026, 6:44 p.m.