Triple

T16329384
Position Surface form Disambiguated ID Type / Status
Subject Ines E396507 entity
Predicate hasSpellingVariant P457 FINISHED
Object Inês (with circumflex accent) E396508 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: Inês (with circumflex accent) | Statement: [Ines, hasSpellingVariant, Inês (with circumflex accent)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inês (with circumflex accent)
Context triple: [Ines, hasSpellingVariant, Inês (with circumflex accent)]
  • A. Inês chosen
    Inês is a Portuguese given name, equivalent to Agnes, commonly used for women in Portuguese-speaking countries.
  • B. Inês Thomas Almeida
    Inês Thomas Almeida is a Portuguese musician and cultural figure known for her work as a mezzo-soprano and her contributions to promoting Lusophone music and culture.
  • C. Inês Pedrosa
    Inês Pedrosa is a Portuguese writer and journalist known for her novels, essays, and contributions to contemporary Portuguese literature and media.
  • D. Inés
    Inés is a feminine given name, especially common in Spanish-speaking countries, derived from the name Agnes.
  • E. Ines
    Ines is a feminine given name, commonly used in various European and Latin American countries, that is a variant of the name Agnes.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4ddc5608190b24fe2e871691470 completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a003556630081909e60e378e97b06fb completed May 10, 2026, 7:35 a.m.
Created at: April 10, 2026, 5:07 a.m.