Triple

T8853354
Position Surface form Disambiguated ID Type / Status
Subject Valentin E210690 entity
Predicate orthographicVariant P33995 FINISHED
Object Valentim (Portuguese) E492442 NE FINISHED

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: Valentim (Portuguese) | Statement: [Valentin, orthographicVariant, Valentim (Portuguese)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valentim (Portuguese)
Context triple: [Valentin, orthographicVariant, Valentim (Portuguese)]
  • A. Valentim chosen
    Valentim is a given name, primarily used in Portuguese-speaking countries, that corresponds to the variant of the name Valentine.
  • B. Valtinho
    Valtinho is a Portuguese diminutive form of the given name Valter, commonly used as an affectionate nickname.
  • C. Carvalho
    Carvalho is a common Portuguese surname borne by many individuals, including the former professional footballer Ricardo Carvalho.
  • D. Matheus (Portuguese)
    Matheus is a Portuguese given name, equivalent to Matthew, commonly used in Portuguese-speaking countries.
  • E. Vascão
    Vascão is a popular nickname for the Brazilian football club CR Vasco da Gama, reflecting the team’s large, passionate fanbase and historic status in Rio de Janeiro football.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca838a424c8190b1ecac115c2927e7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60c55e348190957b3bbb7397e380 completed April 1, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa09557dc81908b5690bf5c392528 completed April 3, 2026, 11:12 a.m.
Created at: March 30, 2026, 6:49 p.m.