Triple

T6717428
Position Surface form Disambiguated ID Type / Status
Subject Mateo E153306 entity
Predicate isCognateWith P2527 FINISHED
Object Matheus (Portuguese)
Matheus is a Portuguese given name, equivalent to Matthew, commonly used in Portuguese-speaking countries.
 E613462 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: Matheus (Portuguese) | Statement: [Mateo, isCognateWith, Matheus (Portuguese)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matheus (Portuguese)
Context triple: [Mateo, isCognateWith, Matheus (Portuguese)]
  • A. Mateus
    Mateus is a Portuguese surname commonly borne by individuals such as Rui Mateus.
  • B. João
    João is a common Portuguese male given name widely used in Portuguese-speaking countries, equivalent to "John" in English.
  • C. Claudio (Portuguese)
    Claudio (Portuguese) is a masculine given name used in Portuguese-speaking countries, equivalent to the English name Claude or Claudio and ultimately derived from the Latin name Claudius.
  • D. Sérgio
    Sérgio is a Portuguese given name commonly used in Brazil and other Lusophone countries.
  • E. Marcelo
    Marcelo is a common Portuguese and Spanish given name, notably borne by figures such as Brazilian footballer Marcelo Vieira and former Portuguese Prime Minister Marcelo Caetano.
  • 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: Matheus (Portuguese)
Triple: [Mateo, isCognateWith, Matheus (Portuguese)]
Generated description
Matheus is a Portuguese given name, equivalent to Matthew, commonly used in Portuguese-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matheus (Portuguese)
Target entity description: Matheus is a Portuguese given name, equivalent to Matthew, commonly used in Portuguese-speaking countries.
  • A. Mateus
    Mateus is a Portuguese surname commonly borne by individuals such as Rui Mateus.
  • B. João
    João is a common Portuguese male given name widely used in Portuguese-speaking countries, equivalent to "John" in English.
  • C. Claudio (Portuguese)
    Claudio (Portuguese) is a masculine given name used in Portuguese-speaking countries, equivalent to the English name Claude or Claudio and ultimately derived from the Latin name Claudius.
  • D. Sérgio
    Sérgio is a Portuguese given name commonly used in Brazil and other Lusophone countries.
  • E. Marcelo
    Marcelo is a common Portuguese and Spanish given name, notably borne by figures such as Brazilian footballer Marcelo Vieira and former Portuguese Prime Minister Marcelo Caetano.
  • 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_69c68809b4608190a2509ddb5ab87f05 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d12765a48190b485176dc2ffa0fa completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c700993128819081614ccfa68d7320 completed March 27, 2026, 10:11 p.m.
NEDg Description generation batch_69c70262f3e48190b544be536ee0b674 completed March 27, 2026, 10:19 p.m.
NED2 Entity disambiguation (via description) batch_69c70311418c8190a902cf21187fdc51 completed March 27, 2026, 10:22 p.m.
Created at: March 27, 2026, 2:07 p.m.