Triple

T20097360
Position Surface form Disambiguated ID Type / Status
Subject Sérgio Costa E496435 entity
Predicate givenName P17 FINISHED
Object Sérgio 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: Sérgio | Statement: [Sérgio Costa, givenName, Sérgio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sérgio
Context triple: [Sérgio Costa, givenName, Sérgio]
  • A. Sérgio chosen
    Sérgio is a Portuguese given name commonly used in Brazil and other Lusophone countries.
  • B. Rogério
    Rogério is a Brazilian former professional footballer best known as a legendary São Paulo FC goalkeeper and prolific goal-scorer, later becoming a football manager.
  • C. Fabrício
    Fabrício is the given name of Fabrício Werdum, a Brazilian mixed martial artist and former UFC heavyweight champion.
  • D. Sílvio
    Sílvio is a masculine given name of Portuguese origin, commonly used in Portuguese-speaking countries.
  • E. Edvaldo
    Edvaldo is the given first name of the Brazilian footballer widely known by his nickname Vavá.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666d83448190b3ade3f5b855e820 completed April 20, 2026, 5:46 p.m.
Created at: April 11, 2026, 11:25 p.m.