Triple

T1927075
Position Surface form Disambiguated ID Type / Status
Subject Yuri E40856 entity
Predicate hasVariant P455 FINISHED
Object Yuriy
Yuriy is a masculine given name, commonly used in Slavic countries as a variant of the name Yuri.
E208734 NE FINISHED

How this triple was built (4 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: Yuriy | Statement: [Yuri, hasVariant, Yuriy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yuriy
Context triple: [Yuri, hasVariant, Yuriy]
  • A. 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.
  • B. Nikolay
    Nikolay is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Nicholas in English.
  • C. Sergei
    Sergei is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • D. Yuriy Krapov
    Yuriy Krapov is a Ukrainian comedian and actor best known for his performances in the popular sketch comedy show "Vecherniy Kvartal."
  • E. Leonid
    Leonid is a masculine given name of Slavic origin, notably borne by Soviet leader Leonid Brezhnev.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yuriy
Triple: [Yuri, hasVariant, Yuriy]
Generated description
Yuriy is a masculine given name, commonly used in Slavic countries as a variant of the name Yuri.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yuriy
Target entity description: Yuriy is a masculine given name, commonly used in Slavic countries as a variant of the name Yuri.
  • A. 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.
  • B. Nikolay
    Nikolay is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Nicholas in English.
  • C. Sergei
    Sergei is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • D. Yuriy Krapov chosen
    Yuriy Krapov is a Ukrainian comedian and actor best known for his performances in the popular sketch comedy show "Vecherniy Kvartal."
  • E. Leonid
    Leonid is a masculine given name of Slavic origin, notably borne by Soviet leader Leonid Brezhnev.
  • F. None of above.

Provenance (5 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb263cdb8819084d0bda98a2a71e0 completed March 7, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0ac4ea348190b8f2ebc2f81ea353 completed March 8, 2026, 11:48 p.m.
NEDg Description generation batch_69ae0b9c8d3881908582542da9176ede completed March 8, 2026, 11:51 p.m.
NED2 Entity disambiguation (via description) batch_69ae0f609210819093427e1d73b61198 completed March 9, 2026, 12:08 a.m.
Created at: March 4, 2026, 7:35 p.m.