Triple

T3640199
Position Surface form Disambiguated ID Type / Status
Subject Nicolás E77168 entity
Predicate hasEquivalentForm P6530 FINISHED
Object Nicolau
Nicolau is a given name, commonly used in Catalan and Portuguese, equivalent to the Spanish name Nicolás.
 E375779 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: Nicolau | Statement: [Nicolás, hasEquivalentForm, Nicolau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nicolau
Context triple: [Nicolás, hasEquivalentForm, Nicolau]
  • A. Nicolas Hieronimus
    Nicolas Hieronimus is a French business executive who serves as the chief executive officer of global cosmetics giant L'Oréal.
  • B. Luís
    Luís is a common Portuguese male given name, historically associated with notable figures such as the poet Luís de Camões.
  • C. Raimundo
    Raimundo is a masculine given name of Spanish and Portuguese origin, related to the name Ramón and ultimately derived from the Germanic name Raymond.
  • D. António
    António is a common Portuguese given name, notably borne by António Guterres, the Secretary-General of the United Nations.
  • E. Sebastião
    Sebastião is the Portuguese variant of the given name Sebastian, commonly used in Portuguese-speaking countries.
  • 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: Nicolau
Triple: [Nicolás, hasEquivalentForm, Nicolau]
Generated description
Nicolau is a given name, commonly used in Catalan and Portuguese, equivalent to the Spanish name Nicolás.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nicolau
Target entity description: Nicolau is a given name, commonly used in Catalan and Portuguese, equivalent to the Spanish name Nicolás.
  • A. Nicolas Hieronimus
    Nicolas Hieronimus is a French business executive who serves as the chief executive officer of global cosmetics giant L'Oréal.
  • B. Luís
    Luís is a common Portuguese male given name, historically associated with notable figures such as the poet Luís de Camões.
  • C. Raimundo
    Raimundo is a masculine given name of Spanish and Portuguese origin, related to the name Ramón and ultimately derived from the Germanic name Raymond.
  • D. António
    António is a common Portuguese given name, notably borne by António Guterres, the Secretary-General of the United Nations.
  • E. Sebastião
    Sebastião is the Portuguese variant of the given name Sebastian, commonly used in Portuguese-speaking countries.
  • 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_69ad85dd0be48190b738990cb20c4731 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc32b83188190bfc0ed4dc8f66730 completed March 8, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f2a8a5c8190b84dcf4b4b8a939e completed March 13, 2026, 5:53 p.m.
NEDg Description generation batch_69b45292546c81909770dcd6239dbda3 completed March 13, 2026, 6:08 p.m.
NED2 Entity disambiguation (via description) batch_69b45f76fcc48190bab9bc6ce83700eb completed March 13, 2026, 7:03 p.m.
Created at: March 8, 2026, 3:24 p.m.