Triple

T2561793
Position Surface form Disambiguated ID Type / Status
Subject Sebastian E57255 entity
Predicate hasVariant P455 FINISHED
Object Sebastião
Sebastião is the Portuguese variant of the given name Sebastian, commonly used in Portuguese-speaking countries.
 E284981 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: Sebastião | Statement: [Sebastian, hasVariant, Sebastião]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sebastião
Context triple: [Sebastian, hasVariant, Sebastião]
  • A. Diogo
    Diogo is a masculine given name, commonly used in Portuguese-speaking countries and related to the name Diego.
  • B. Athos Bulcão
    Athos Bulcão was a Brazilian artist renowned for his modernist tile panels and public art that became iconic elements of Brasília’s architectural landscape.
  • C. Guilherme
    Guilherme is the Portuguese form of the given name William, commonly used in Portuguese-speaking countries.
  • D. António
    António is a common Portuguese given name, notably borne by António Guterres, the Secretary-General of the United Nations.
  • E. Amarildo
    Amarildo is a former Brazilian footballer best known as a forward who starred for Botafogo and the Brazil national team in the early 1960s.
  • 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: Sebastião
Triple: [Sebastian, hasVariant, Sebastião]
Generated description
Sebastião is the Portuguese variant of the given name Sebastian, commonly used in Portuguese-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sebastião
Target entity description: Sebastião is the Portuguese variant of the given name Sebastian, commonly used in Portuguese-speaking countries.
  • A. Diogo
    Diogo is a masculine given name, commonly used in Portuguese-speaking countries and related to the name Diego.
  • B. Athos Bulcão
    Athos Bulcão was a Brazilian artist renowned for his modernist tile panels and public art that became iconic elements of Brasília’s architectural landscape.
  • C. Guilherme
    Guilherme is the Portuguese form of the given name William, commonly used in Portuguese-speaking countries.
  • D. António
    António is a common Portuguese given name, notably borne by António Guterres, the Secretary-General of the United Nations.
  • E. Amarildo
    Amarildo is a former Brazilian footballer best known as a forward who starred for Botafogo and the Brazil national team in the early 1960s.
  • 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_69ab4a4ef9008190a0e6d4422b9418b7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd336183c819084ed7de8ccc4c548 completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98ab023481908ab51febe79b963c completed March 10, 2026, 4:06 a.m.
NEDg Description generation batch_69af9960992881909d7d4ed12630ce33 completed March 10, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69af99c394ac81908601f495b4c7b77d completed March 10, 2026, 4:10 a.m.
Created at: March 6, 2026, 9:48 p.m.