Triple

T2539626
Position Surface form Disambiguated ID Type / Status
Subject António Variações E56352 entity
Predicate familyName P18 FINISHED
Object Ribeiro
Ribeiro is a common Portuguese surname borne by numerous individuals across Portugal and the Lusophone world.
 E277171 NE FINISHED

How this triple was built (4 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: Ribeiro | Statement: [António Variações, familyName, Ribeiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ribeiro
Context triple: [António Variações, familyName, Ribeiro]
  • A. Jordão
    Jordão is a neighborhood of Recife, Brazil, known as a largely residential area on the city’s outskirts.
  • B. Bérrio
    Bérrio was a Portuguese carrack that served as one of the ships in Vasco da Gama’s pioneering fleet on the first voyage from Portugal to India.
  • C. Vascão
    Vascão is a popular nickname for the Brazilian football club CR Vasco da Gama, reflecting the team’s large, passionate fanbase and historic status in Rio de Janeiro football.
  • D. Cardoso
    Cardoso is a common Portuguese-language surname borne by numerous individuals, including prominent Brazilian political and cultural figures.
  • E. 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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ribeiro
Triple: [António Variações, familyName, Ribeiro]
Generated description
Ribeiro is a common Portuguese surname borne by numerous individuals across Portugal and the Lusophone world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ribeiro
Target entity description: Ribeiro is a common Portuguese surname borne by numerous individuals across Portugal and the Lusophone world.
  • A. Jordão
    Jordão is a neighborhood of Recife, Brazil, known as a largely residential area on the city’s outskirts.
  • B. Bérrio
    Bérrio was a Portuguese carrack that served as one of the ships in Vasco da Gama’s pioneering fleet on the first voyage from Portugal to India.
  • C. Vascão
    Vascão is a popular nickname for the Brazilian football club CR Vasco da Gama, reflecting the team’s large, passionate fanbase and historic status in Rio de Janeiro football.
  • D. Cardoso
    Cardoso is a common Portuguese-language surname borne by numerous individuals, including prominent Brazilian political and cultural figures.
  • E. 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.
  • F. None of above. chosen

Provenance (5 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd29b44448190ba4f82b0c1425f21 completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cff8d188190844b177b5d3952b0 completed March 9, 2026, 11:51 p.m.
NEDg Description generation batch_69af5d9dcf608190b580beb10619ab86 completed March 9, 2026, 11:54 p.m.
NED2 Entity disambiguation (via description) batch_69af5e781360819080b4b96942beb17d completed March 9, 2026, 11:57 p.m.
Created at: March 6, 2026, 9:47 p.m.