Triple

T876938
Position Surface form Disambiguated ID Type / Status
Subject Mário Soares E18938 entity
Predicate familyName P18 FINISHED
Object Soares
Soares is a common Portuguese surname borne by numerous notable figures in politics, sports, and the arts.
E104074 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: Soares | Statement: [Mário Soares, familyName, Soares]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soares
Context triple: [Mário Soares, familyName, Soares]
  • A. Azevêdo
    Azevêdo is a Portuguese-language surname commonly found in Brazil and Portugal, associated with several notable public figures.
  • B. Rafael Carmoega
    Rafael Carmoega was a prominent Puerto Rican architect known for designing major public buildings and shaping early 20th-century Puerto Rican civic architecture.
  • C. José Alexandre
    José Alexandre is the birth name of Xanana Gusmão, the prominent East Timorese independence leader and statesman.
  • D. Tadeu Marroco
    Tadeu Marroco is a Brazilian-born business executive who serves as the chief executive officer of British American Tobacco.
  • E. Caetano
    Caetano is a Portuguese surname most notably associated with Marcelo Caetano, the last prime minister of Portugal’s Estado Novo regime.
  • 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: Soares
Triple: [Mário Soares, familyName, Soares]
Generated description
Soares is a common Portuguese surname borne by numerous notable figures in politics, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Soares
Target entity description: Soares is a common Portuguese surname borne by numerous notable figures in politics, sports, and the arts.
  • A. Azevêdo
    Azevêdo is a Portuguese-language surname commonly found in Brazil and Portugal, associated with several notable public figures.
  • B. Rafael Carmoega
    Rafael Carmoega was a prominent Puerto Rican architect known for designing major public buildings and shaping early 20th-century Puerto Rican civic architecture.
  • C. José Alexandre
    José Alexandre is the birth name of Xanana Gusmão, the prominent East Timorese independence leader and statesman.
  • D. Tadeu Marroco
    Tadeu Marroco is a Brazilian-born business executive who serves as the chief executive officer of British American Tobacco.
  • E. Caetano
    Caetano is a Portuguese surname most notably associated with Marcelo Caetano, the last prime minister of Portugal’s Estado Novo regime.
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4acaf30a48190a10ed7fee464c444 completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b854469c81908dc4a5c29ee140a4 completed March 4, 2026, 4:43 a.m.
NEDg Description generation batch_69a7b985298c8190b465ce0589cd2c24 completed March 4, 2026, 4:48 a.m.
NED2 Entity disambiguation (via description) batch_69a7ba46a2ec8190892404cb1f259cf0 completed March 4, 2026, 4:51 a.m.
Created at: March 1, 2026, 7:39 p.m.