Triple

T22801894
Position Surface form Disambiguated ID Type / Status
Subject Vasily Krasnov E564415 entity
Predicate hasGivenName P17 FINISHED
Object Vasily 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: Vasily | Statement: [Vasily Krasnov, hasGivenName, Vasily]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vasily
Context triple: [Vasily Krasnov, hasGivenName, Vasily]
  • A. Vasily chosen
    Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • B. Gavril
    Gavril is a masculine given name, commonly used in Slavic and Eastern European cultures, that derives from the Hebrew name Gabriel.
  • C. Vsevolod
    Vsevolod is a masculine given name of Slavic origin, most notably borne by the influential Russian theatre director Vsevolod Meyerhold.
  • D. Innokenty
    Innokenty is a masculine given name of Slavic origin, most notably borne by the renowned Russian actor Innokenty Smoktunovsky.
  • E. Pyotr
    Pyotr is a Russian masculine given name, equivalent to Peter, commonly borne by notable historical and cultural figures.
  • 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_69e2458185f88190b0045227ee420411 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cdd87648190ba30f0b8f3ef7346 completed April 29, 2026, 3:37 a.m.
Created at: April 17, 2026, 3:31 p.m.