Triple

T1274339
Position Surface form Disambiguated ID Type / Status
Subject Diego E15778 entity
Predicate hasVariant P455 FINISHED
Object Diogo
Diogo is a masculine given name, commonly used in Portuguese-speaking countries and related to the name Diego.
 E155483 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: Diogo | Statement: [Diego, hasVariant, Diogo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Diogo
Context triple: [Diego, hasVariant, Diogo]
  • A. Joaquim
    Joaquim is a given name used in certain languages as a variant of Saint Joachim, traditionally regarded as the father of the Virgin Mary in Christian tradition.
  • B. Guilherme
    Guilherme is the Portuguese form of the given name William, commonly used in Portuguese-speaking countries.
  • C. Tiago
    Tiago is a masculine given name commonly used in Portuguese-speaking countries, often considered a variant of the name James.
  • D. 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.
  • E. António
    António is a common Portuguese given name, notably borne by António Guterres, the Secretary-General of the United Nations.
  • 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: Diogo
Triple: [Diego, hasVariant, Diogo]
Generated description
Diogo is a masculine given name, commonly used in Portuguese-speaking countries and related to the name Diego.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Diogo
Target entity description: Diogo is a masculine given name, commonly used in Portuguese-speaking countries and related to the name Diego.
  • A. Joaquim
    Joaquim is a given name used in certain languages as a variant of Saint Joachim, traditionally regarded as the father of the Virgin Mary in Christian tradition.
  • B. Guilherme
    Guilherme is the Portuguese form of the given name William, commonly used in Portuguese-speaking countries.
  • C. Tiago
    Tiago is a masculine given name commonly used in Portuguese-speaking countries, often considered a variant of the name James.
  • D. 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.
  • E. António
    António is a common Portuguese given name, notably borne by António Guterres, the Secretary-General of the United Nations.
  • 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_69a4935a94308190bb92555b79032824 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4c06ee22081908141868b57596e35 completed March 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce5dac54819097ff1fe72a19380d completed March 8, 2026, 1:18 a.m.
NEDg Description generation batch_69accef1f294819093f463001ae8796b completed March 8, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_69accf59a4e48190bfe11b97c4d33913 completed March 8, 2026, 1:22 a.m.
Created at: March 1, 2026, 7:50 p.m.