Triple

T20330504
Position Surface form Disambiguated ID Type / Status
Subject Egor Kankrin E492464 entity
Predicate givenName P17 FINISHED
Object Egor 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: Egor | Statement: [Egor Kankrin, givenName, Egor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Egor
Context triple: [Egor Kankrin, givenName, Egor]
  • A. Егор chosen
    Егор — распространённое русское мужское имя, являющееся формой имени Егорий (Георгий).
  • B. Yegor
    Yegor is a given name of Slavic origin, commonly used in Russian-speaking countries as a variant of the name Georgy (George).
  • C. Gavril
    Gavril is a masculine given name, commonly used in Slavic and Eastern European cultures, that derives from the Hebrew name Gabriel.
  • D. Vasily
    Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • E. Timofei
    Timofei is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and related to the name Timo.
  • 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677e6f5d08190bedf376bbb999ebc completed April 20, 2026, 7 p.m.
Created at: April 16, 2026, 11:22 a.m.