Triple

T5366888
Position Surface form Disambiguated ID Type / Status
Subject Mia Couto E103151 entity
Predicate familyName P18 FINISHED
Object Couto E277171 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: Couto | Statement: [Mia Couto, familyName, Couto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Couto
Context triple: [Mia Couto, familyName, Couto]
  • A. Braz de Aviz
    Braz de Aviz is a Brazilian cardinal of the Roman Catholic Church known for his leadership roles in the Vatican, including as prefect of the Dicastery for Institutes of Consecrated Life and Societies of Apostolic Life.
  • B. Alcântara
    Alcântara is a historic coastal municipality in the Brazilian state of Maranhão, known for its preserved colonial architecture and proximity to the Alcântara Launch Center.
  • C. Vieira
    Vieira is a French former professional footballer and World Cup winner who became a prominent defensive midfielder and later a football manager.
  • D. Ribeiro chosen
    Ribeiro is a common Portuguese surname borne by numerous individuals across Portugal and the Lusophone world.
  • E. Jordão
    Jordão is a neighborhood of Recife, Brazil, known as a largely residential area on the city’s outskirts.
  • 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_69bd43daa3e4819090b59d127db70e57 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd8684103081908ed79625b59e4b24 completed March 20, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf2924caf48190b05f3ccbe54997d7 completed March 21, 2026, 11:26 p.m.
Created at: March 20, 2026, 2:02 p.m.