Triple

T16221136
Position Surface form Disambiguated ID Type / Status
Subject Humberto Sousa Medeiros E393725 entity
Predicate familyName P18 FINISHED
Object Medeiros E1112205 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: Medeiros | Statement: [Humberto Sousa Medeiros, familyName, Medeiros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medeiros
Context triple: [Humberto Sousa Medeiros, familyName, Medeiros]
  • A. de Medeiros chosen
    de Medeiros is the surname of Portuguese actress and filmmaker Maria de Medeiros, known for her work in European cinema and international films.
  • B. Almeida
    Almeida is a municipality in the Boyacá Department of Colombia, known for its rural Andean setting and traditional agricultural economy.
  • C. Almeida
    Almeida is a historic fortified town and municipality in northeastern Portugal, renowned for its star-shaped defensive walls and well-preserved military architecture.
  • D. Andrade
    Andrade is a common Portuguese and Spanish surname borne by numerous notable figures across fields such as sports, politics, and the arts.
  • E. Figueiredo
    Figueiredo is a small locality or village within the municipality of Sertã in central Portugal.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e227fbd88081909fac3f075d5ea7f4 completed April 17, 2026, 12:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0007987cd881908ebc01141028c0a5 completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:03 a.m.