Triple

T3079879
Position Surface form Disambiguated ID Type / Status
Subject Sergei E64229 entity
Predicate hasVariant P455 FINISHED
Object Sergey E64229 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: Sergey | Statement: [Sergei, hasVariant, Sergey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sergey
Context triple: [Sergei, hasVariant, Sergey]
  • A. Sergei chosen
    Sergei is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • B. Andrey Voronikhin
    Andrey Voronikhin was a prominent Russian neoclassical architect of the late 18th and early 19th centuries, noted for shaping the architectural landscape of St. Petersburg.
  • C. Alexey
    Alexey is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and derived from the Greek name Alexios, meaning "defender" or "helper."
  • D. Юрий
    Юрий is a common Russian male given name, often rendered in English as Yuri and borne by numerous notable figures in Russian and Soviet history and culture.
  • E. Grigory Semyonov
    Grigory Semyonov was a Russian Cossack military leader and prominent anti-Bolshevik figure who commanded White forces in Siberia and the Russian Far East during the Russian Civil War.
  • 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1a9d61081909953eb2f4ad4537e completed March 8, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69bb60bff62881908ff53b9b02d9c869 completed March 19, 2026, 2:34 a.m.
Created at: March 8, 2026, 3:03 p.m.