Triple

T12313899
Position Surface form Disambiguated ID Type / Status
Subject Cafu E293549 entity
Predicate nickname P55 FINISHED
Object Cafu E293549 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: Cafu | Statement: [Cafu, nickname, Cafu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cafu
Context triple: [Cafu, nickname, Cafu]
  • A. Cafu chosen
    Cafu is a legendary Brazilian right-back renowned for captaining Brazil to the 2002 World Cup title and for his successful club career with teams such as Roma and AC Milan.
  • B. Juninho Paulista
    Juninho Paulista is a Brazilian attacking midfielder best known in England for his influential and much-loved spells at Middlesbrough in the Premier League.
  • C. Giovani dos Santos
    Giovani dos Santos is a Mexican professional footballer known for his attacking flair and playmaking ability, who has played for clubs such as Barcelona, Tottenham Hotspur, and LA Galaxy as well as the Mexico national team.
  • D. Rafael Melo
    Rafael Melo is a Brazilian fintech executive best known as the co-founder and former CFO of the cryptocurrency platform Crypto.com.
  • E. Aloísio
    Aloísio is a masculine given name commonly used in Portuguese-speaking countries, borne by various notable figures in religion, sports, and public life.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f03d3c88190baedffb83465bff8 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e86d45881909a9a3c09df0b78f1 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.