Triple

T19336487
Position Surface form Disambiguated ID Type / Status
Subject Yevgeny Prigozhin E483636 entity
Predicate givenName P17 FINISHED
Object Yevgeny 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: Yevgeny | Statement: [Yevgeny Prigozhin, givenName, Yevgeny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yevgeny
Context triple: [Yevgeny Prigozhin, givenName, Yevgeny]
  • A. Yevgeny chosen
    Yevgeny is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • B. Semyon
    Semyon is a masculine given name of Russian origin, commonly used in Slavic countries.
  • C. Anatoly
    Anatoly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • D. Pyotr
    Pyotr is the Russian given name of Peter Kropotkin, the influential 19th-century anarchist philosopher, geographer, and revolutionary.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61645c0dc8190b64e15c735bcb9f4 completed April 20, 2026, 12:04 p.m.
Created at: April 10, 2026, 1:33 p.m.