Triple

T18436284
Position Surface form Disambiguated ID Type / Status
Subject Nikolai Leskov E450400 entity
Predicate patronymic P7966 FINISHED
Object Semyonovich 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: Semyonovich | Statement: [Nikolai Leskov, patronymic, Semyonovich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Semyonovich
Context triple: [Nikolai Leskov, patronymic, Semyonovich]
  • A. Semyon chosen
    Semyon is a masculine given name of Russian origin, commonly used in Slavic countries.
  • B. Semyonov
    Semyonov is a common Russian surname borne by numerous notable figures in fields such as literature, science, and military history.
  • C. Yevgeny
    Yevgeny is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • D. Anatoly
    Anatoly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • E. Yefimovich
    Yefimovich is the Russian patronymic derived from the male given name Yefim, famously borne by Grigori Rasputin as part of his full name.
  • 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c0cd30c8190b8417c264e60d3a5 completed April 19, 2026, 6:16 p.m.
Created at: April 10, 2026, 11:28 a.m.