Triple

T4874640
Position Surface form Disambiguated ID Type / Status
Subject Gonzalo E109170 entity
Predicate hasVariant P455 FINISHED
Object Gonçalo
Gonçalo is a Portuguese given name, equivalent to the Spanish name Gonzalo and commonly used for males in Portuguese-speaking countries.
E479403 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: Gonçalo | Statement: [Gonzalo, hasVariant, Gonçalo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gonçalo
Context triple: [Gonzalo, hasVariant, Gonçalo]
  • A. António
    António is a common Portuguese given name, notably borne by António Guterres, the Secretary-General of the United Nations.
  • B. Diogo
    Diogo is a masculine given name, commonly used in Portuguese-speaking countries and related to the name Diego.
  • C. Sebastião
    Sebastião is the Portuguese variant of the given name Sebastian, commonly used in Portuguese-speaking countries.
  • D. João
    João is a common Portuguese male given name widely used in Portuguese-speaking countries, equivalent to "John" in English.
  • E. António Gonçalves
    António Gonçalves was a Portuguese publisher known for issuing editions of Luís de Camões’ epic poem "Os Lusíadas."
  • 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: Gonçalo
Triple: [Gonzalo, hasVariant, Gonçalo]
Generated description
Gonçalo is a Portuguese given name, equivalent to the Spanish name Gonzalo and commonly used for males in Portuguese-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gonçalo
Target entity description: Gonçalo is a Portuguese given name, equivalent to the Spanish name Gonzalo and commonly used for males in Portuguese-speaking countries.
  • A. António
    António is a common Portuguese given name, notably borne by António Guterres, the Secretary-General of the United Nations.
  • B. Diogo
    Diogo is a masculine given name, commonly used in Portuguese-speaking countries and related to the name Diego.
  • C. Sebastião
    Sebastião is the Portuguese variant of the given name Sebastian, commonly used in Portuguese-speaking countries.
  • D. João
    João is a common Portuguese male given name widely used in Portuguese-speaking countries, equivalent to "John" in English.
  • E. António Gonçalves
    António Gonçalves was a Portuguese publisher known for issuing editions of Luís de Camões’ epic poem "Os Lusíadas."
  • 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_69bd440d96a48190b0c87069adef2af1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6da1b45881909d45cb1214f5bdde completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fb5da2c8190aeec7d6d11b12b11 completed March 21, 2026, 10:15 a.m.
NEDg Description generation batch_69be712338a08190a5a2adc0762d5dcd completed March 21, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69be717c175c8190b007e98f24af80ad completed March 21, 2026, 10:22 a.m.
Created at: March 20, 2026, 1:27 p.m.