Triple

T5405749
Position Surface form Disambiguated ID Type / Status
Subject Cardozo E120888 entity
Predicate hasVariant P455 FINISHED
Object Cardoso E247803 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: Cardoso | Statement: [Cardozo, hasVariant, Cardoso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cardoso
Context triple: [Cardozo, hasVariant, Cardoso]
  • A. Cardoso chosen
    Cardoso is a common Portuguese-language surname borne by numerous individuals, including prominent Brazilian political and cultural figures.
  • B. Dos Santos
    Dos Santos is a common Portuguese-language surname, especially prevalent in Brazil and other Lusophone countries.
  • C. Trancoso
    Trancoso is a historic Portuguese town in the Centro Region, known for its medieval walls, castle, and well-preserved old quarter.
  • D. Vieira
    Vieira is a French former professional footballer and World Cup winner who became a prominent defensive midfielder and later a football manager.
  • E. Cantanhede
    Cantanhede is a Portuguese municipality in the Centro Region known for its wine production, agricultural activity, and proximity to the Atlantic coast.
  • 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_69bd46391c0c81909fa484446732b6a3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87924c588190beb4a1be27f8d11b completed March 20, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3394af9c81909f9a3bb06d48595d completed March 22, 2026, 12:11 a.m.
Created at: March 20, 2026, 2:05 p.m.