Triple

T14531400
Position Surface form Disambiguated ID Type / Status
Subject Yevgeny Primakov E340922 entity
Predicate givenName P17 FINISHED
Object Yevgeny E359493 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: Yevgeny | Statement: [Yevgeny Primakov, givenName, Yevgeny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yevgeny
Context triple: [Yevgeny Primakov, 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 a Russian masculine given name, equivalent to Peter, commonly borne by notable historical and cultural figures.
  • E. Pyotr
    Pyotr is the Russian given name of Peter Kropotkin, the influential 19th-century anarchist philosopher, geographer, and revolutionary.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea052d01c81909c8592c351be6f35 completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfcf67348190862c65faa1c815f0 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 1:22 a.m.