Triple

T18259102
Position Surface form Disambiguated ID Type / Status
Subject Vasile E437298 entity
Predicate hasCognate P2525 FINISHED
Object Vasili 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: Vasili | Statement: [Vasile, hasCognate, Vasili]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vasili
Context triple: [Vasile, hasCognate, Vasili]
  • A. Vasily chosen
    Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • B. Vsevolod
    Vsevolod is a masculine given name of Slavic origin, most notably borne by the influential Russian theatre director Vsevolod Meyerhold.
  • C. Arseny
    Arseny is a masculine given name of Russian origin, historically borne by several notable figures in literature, art, and public life.
  • D. Zinoviy
    Zinoviy is a masculine given name of Slavic origin, commonly used in Russian and Ukrainian contexts.
  • E. Ignatyev
    Ignatyev is a Russian surname borne by various notable figures in politics, military, sports, and the arts.
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4fd89899c8190b8b652c4f61aa5cf completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 10:34 a.m.