Triple

T16871676
Position Surface form Disambiguated ID Type / Status
Subject Sergey Dvortsevoy E421182 entity
Predicate givenName P17 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: [Sergey Dvortsevoy, givenName, Sergey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sergey
Context triple: [Sergey Dvortsevoy, givenName, 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. Sergey Sokolov
    Sergey Sokolov was a Soviet military leader and Marshal of the Soviet Union who served as the USSR’s Minister of Defense during the 1980s.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b7f31b448190a21e3e4d1a0d2f73 completed April 18, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ec9611c8190a773beef59b39110 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:29 a.m.