Triple

T14349727
Position Surface form Disambiguated ID Type / Status
Subject Zinovy E355820 entity
Predicate relatedName P3889 FINISHED
Object Zinoviy E101378 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: Zinoviy | Statement: [Zinovy, relatedName, Zinoviy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zinoviy
Context triple: [Zinovy, relatedName, Zinoviy]
  • A. Semyonov
    Semyonov is a common Russian surname borne by numerous notable figures in fields such as literature, science, and military history.
  • B. Solovyov
    Solovyov is a Russian surname most notably associated with figures such as philosopher Vladimir Solovyov and various other prominent Russian cultural and public personalities.
  • C. Vasily chosen
    Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • D. Semyon
    Semyon is a masculine given name of Russian origin, commonly used in Slavic countries.
  • 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 (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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e8d081c8190ac805726a3e98f4c completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe249ebd3c81908d8b562845d9ceb1 completed May 8, 2026, 5:59 p.m.
Created at: April 10, 2026, 1:14 a.m.