Triple

T22496825
Position Surface form Disambiguated ID Type / Status
Subject Matthew E556162 entity
Predicate equivalentNameInLanguage P63334 FINISHED
Object Mateus (Portuguese) NE NERFINISHED

How this triple was built (2 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: Mateus (Portuguese) | Statement: [Matthew, equivalentNameInLanguage, Mateus (Portuguese)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mateus (Portuguese)
Context triple: [Matthew, equivalentNameInLanguage, Mateus (Portuguese)]
  • A. Matheus (Portuguese)
    Matheus is a Portuguese given name, equivalent to Matthew, commonly used in Portuguese-speaking countries.
  • B. Matheus (German)
    Matheus is the German form of the given name Matthew, sharing the same biblical origin and meaning of “gift of God.”
  • C. Matheus
    Matheus is a given name, commonly used in Portuguese-speaking countries, that is a variant of the name Matthew.
  • D. Mateus chosen
    Mateus is a Portuguese surname commonly borne by individuals such as Rui Mateus.
  • E. Arturo (Portuguese)
    Arturo (Portuguese) is the Portuguese form of the given name Arthur, commonly used in Lusophone countries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5445bc8190b6a9481926db3355 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15cb2644c819094864bd88bcebcbd completed April 29, 2026, 1:19 a.m.
Created at: April 16, 2026, 8:50 p.m.