Triple

T17198363
Position Surface form Disambiguated ID Type / Status
Subject Copa América 1991 E417411 entity
Predicate notablePlayer P304 FINISHED
Object Taffarel E1256588 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: Taffarel | Statement: [Copa América 1991, notablePlayer, Taffarel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taffarel
Context triple: [Copa América 1991, notablePlayer, Taffarel]
  • A. Taffarel chosen
    Taffarel is a renowned Brazilian former goalkeeper, celebrated for his performances with the Brazil national team and his crucial role in their 1994 World Cup triumph.
  • B. Rivellino
    Rivellino is a legendary Brazilian attacking midfielder renowned for his powerful left foot, inventive dribbling, and key role in Brazil’s 1970 World Cup–winning team.
  • C. Cafu
    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.
  • D. Jorge Arantes
    Jorge Arantes is a Portuguese former journalist best known as the first husband of author J. K. Rowling.
  • E. Marcelo Adnet
    Marcelo Adnet is a Brazilian comedian, actor, and television host known for his sharp political satire and work on major Brazilian TV networks.
  • 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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42daca29081909837494d8d516634 completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01674bfabc8190bff7223e039089cc completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:38 a.m.