Triple

T8690348
Position Surface form Disambiguated ID Type / Status
Subject Lais Ribeiro E206270 entity
Predicate birthName P65 FINISHED
Object Laís Pereira de Oliveira E206270 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: Laís Pereira de Oliveira | Statement: [Lais Ribeiro, birthName, Laís Pereira de Oliveira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laís Pereira de Oliveira
Context triple: [Lais Ribeiro, birthName, Laís Pereira de Oliveira]
  • A. Lais Ribeiro chosen
    Lais Ribeiro is a Brazilian fashion model best known for her work with Victoria’s Secret and appearances in its high-profile runway shows.
  • B. Giovanna Almeida Póvoas
    Giovanna Almeida Póvoas is the daughter of Brazilian singer and performer Daniela Mercury.
  • C. Fernanda Tadeu
    Fernanda Tadeu is a Portuguese educator and public figure best known as the wife of former Prime Minister António Costa.
  • D. Eliane Cavalleiro
    Eliane Cavalleiro is a Brazilian academic and activist known for her work on racial and gender equality in education.
  • E. Regina Silveira
    Regina Silveira is a Brazilian contemporary artist renowned for her conceptual installations and explorations of shadow, perspective, and spatial perception.
  • 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_69ca835481fc819084e33d3bc883bfa6 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5734602c81909a0687e00f4a4a26 completed March 31, 2026, 11:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf288acb348190829e149a9089a0a1 completed April 3, 2026, 2:40 a.m.
Created at: March 30, 2026, 6:33 p.m.