Triple

T19337520
Position Surface form Disambiguated ID Type / Status
Subject Fernando Costa E483660 entity
Predicate name P16 FINISHED
Object Fernando Costa 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: Fernando Costa | Statement: [Fernando Costa, name, Fernando Costa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fernando Costa
Context triple: [Fernando Costa, name, Fernando Costa]
  • A. Fernando Costa chosen
    Fernando Costa is a Portuguese rapper known for his introspective lyrics and strong presence in the contemporary Lusophone hip-hop scene.
  • B. Juan Ignacio Chela
    Juan Ignacio Chela is a retired Argentine professional tennis player known for his clay-court prowess and consistent presence on the ATP Tour in the 2000s.
  • C. Guillermo Vilas
    Guillermo Vilas is an Argentine former professional tennis player renowned for his dominance on clay courts in the 1970s, winning multiple Grand Slam titles and helping popularize tennis in Latin America.
  • D. Sergi Bruguera
    Sergi Bruguera is a former Spanish professional tennis player best known for winning back-to-back French Open singles titles in 1993 and 1994.
  • E. Gustavo Kuerten
    Gustavo Kuerten is a retired Brazilian tennis player best known for winning three French Open singles titles and reaching the world No. 1 ranking.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61646e89081908c9f1d2cf557672c completed April 20, 2026, 12:04 p.m.
Created at: April 10, 2026, 1:33 p.m.