Triple

T14285167
Position Surface form Disambiguated ID Type / Status
Subject Matthaeus E354150 entity
Predicate hasVariant P455 FINISHED
Object Matheus
Matheus is a given name, commonly used in Portuguese-speaking countries, that is a variant of the name Matthew.
 E1090702 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 | Statement: [Matthaeus, hasVariant, Matheus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matheus
Context triple: [Matthaeus, hasVariant, Matheus]
  • A. Mateus
    Mateus is a Portuguese surname commonly borne by individuals such as Rui Mateus.
  • B. Leandro
    Leandro is the given first name of Argentine jazz saxophonist and composer Gato Barbieri.
  • C. Paulo
    Paulo is a given name most notably associated with Brazilian educator and philosopher Paulo Freire, a leading figure in critical pedagogy.
  • D. Paulo
    Paulo is the central character in Paulo Coelho’s novel "The Valkyries," whose spiritual journey through the Mojave Desert explores themes of faith, love, and self-discovery.
  • E. Marcio
    Marcio is a masculine given name commonly used in Portuguese- and Spanish-speaking countries, derived from the Latin name Marcius.
  • 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
Triple: [Matthaeus, hasVariant, Matheus]
Generated description
Matheus is a given name, commonly used in Portuguese-speaking countries, that is a variant of the name Matthew.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matheus
Target entity description: Matheus is a given name, commonly used in Portuguese-speaking countries, that is a variant of the name Matthew.
  • A. Mateus
    Mateus is a Portuguese surname commonly borne by individuals such as Rui Mateus.
  • B. Leandro
    Leandro is the given first name of Argentine jazz saxophonist and composer Gato Barbieri.
  • C. Paulo
    Paulo is a given name most notably associated with Brazilian educator and philosopher Paulo Freire, a leading figure in critical pedagogy.
  • D. Paulo
    Paulo is the central character in Paulo Coelho’s novel "The Valkyries," whose spiritual journey through the Mojave Desert explores themes of faith, love, and self-discovery.
  • E. Marcio
    Marcio is a masculine given name commonly used in Portuguese- and Spanish-speaking countries, derived from the Latin name Marcius.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de697ef40c8190bea37724b28c2e99 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d1c4d988190b595e6a33ef96c28 completed May 8, 2026, 1:32 a.m.
NEDg Description generation batch_69fd3da6f0648190876dd86dd51e72cc completed May 8, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69fd3e30868481908b55b368ab45c7fb completed May 8, 2026, 1:36 a.m.
Created at: April 10, 2026, 1:10 a.m.