Triple

T11942178
Position Surface form Disambiguated ID Type / Status
Subject Nunes E284202 entity
Predicate hasNotableBearer P458 FINISHED
Object Ricardo Nunes E59688 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: Ricardo Nunes | Statement: [Nunes, hasNotableBearer, Ricardo Nunes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ricardo Nunes
Context triple: [Nunes, hasNotableBearer, Ricardo Nunes]
  • A. Ricardo Nunes chosen
    Ricardo Nunes is a Brazilian politician who serves as the mayor of São Paulo, one of the largest cities in the world.
  • B. Rui Patrício
    Rui Patrício is a Portuguese professional football goalkeeper best known for his long international career with Portugal’s national team, including winning UEFA Euro 2016.
  • C. Nuno Tavares
    Nuno Tavares is a Portuguese professional footballer known for playing as an attacking left-back, notably for Arsenal and various European clubs on loan.
  • D. Matheus Nunes
    Matheus Nunes is a professional Brazilian-born Portuguese footballer known for playing as a dynamic central midfielder in top European leagues and for the Portugal national team.
  • E. Eduardo Nunes
    Eduardo Nunes is a Brazilian film director and screenwriter known for his visually distinctive, contemplative cinema.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90342bb908190a019ac91a2b82f3d completed April 10, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f458b9a35c8190875cb5ac7c9bcfba completed May 1, 2026, 7:39 a.m.
Created at: April 8, 2026, 9:45 p.m.