Triple

T6121664
Position Surface form Disambiguated ID Type / Status
Subject Valentín Gómez Farías E136498 entity
Predicate givenName P17 FINISHED
Object Valentín E210690 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: Valentín | Statement: [Valentín Gómez Farías, givenName, Valentín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valentín
Context triple: [Valentín Gómez Farías, givenName, Valentín]
  • A. Valentim
    Valentim is a given name, primarily used in Portuguese-speaking countries, that corresponds to the variant of the name Valentine.
  • B. Valeriano
    Valeriano is a masculine given name of Latin origin, historically borne by several notable figures including Spanish military and political leaders.
  • C. Valentin chosen
    Valentin is a masculine given name of Latin origin, commonly used in various European and Slavic countries.
  • D. Celso
    Celso is a small village in southern Italy that serves as a frazione (hamlet) of the municipality of Pollica in the Campania region.
  • E. Julio
    Julio is the given name of Julio Antonio Mella, a prominent early 20th-century Cuban communist leader and co-founder of the Cuban Communist Party.
  • 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_69c0089f851c81909e5e189a617dcff6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05bf16ad48190958cc46510e02bd3 completed March 22, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c125739cd8819081f2c860566f62bf completed March 23, 2026, 11:35 a.m.
Created at: March 22, 2026, 4:14 p.m.