Triple

T4746285
Position Surface form Disambiguated ID Type / Status
Subject Vladimir Yevgenyevich Zhabotinsky E105366 entity
Predicate patronymicName P7966 FINISHED
Object Yevgenyevich
Yevgenyevich is a Russian patronymic middle name indicating that a person is the son of someone named Yevgeny.
 E359493 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: Yevgenyevich | Statement: [Vladimir Yevgenyevich Zhabotinsky, patronymicName, Yevgenyevich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yevgenyevich
Context triple: [Vladimir Yevgenyevich Zhabotinsky, patronymicName, Yevgenyevich]
  • A. Yevgeny
    Yevgeny is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • B. Yefimovich
    Yefimovich is the Russian patronymic derived from the male given name Yefim, famously borne by Grigori Rasputin as part of his full name.
  • C. Vasilyevich
    Vasilyevich is the Russian patronymic indicating "son of Vasily," famously used in the full name of Ivan IV (Ivan Vasilyevich), the first tsar of Russia.
  • D. Nikolay
    Nikolay is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Nicholas in English.
  • E. Semyon
    Semyon is a masculine given name of Russian origin, commonly used in Slavic countries.
  • 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: Yevgenyevich
Triple: [Vladimir Yevgenyevich Zhabotinsky, patronymicName, Yevgenyevich]
Generated description
Yevgenyevich is a Russian patronymic middle name indicating that a person is the son of someone named Yevgeny.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yevgenyevich
Target entity description: Yevgenyevich is a Russian patronymic middle name indicating that a person is the son of someone named Yevgeny.
  • A. Yevgeny chosen
    Yevgeny is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • B. Yefimovich
    Yefimovich is the Russian patronymic derived from the male given name Yefim, famously borne by Grigori Rasputin as part of his full name.
  • C. Vasilyevich
    Vasilyevich is the Russian patronymic indicating "son of Vasily," famously used in the full name of Ivan IV (Ivan Vasilyevich), the first tsar of Russia.
  • D. Nikolay
    Nikolay is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Nicholas in English.
  • E. Semyon
    Semyon is a masculine given name of Russian origin, commonly used in Slavic countries.
  • 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_69bd43ef87a48190a5bc3600711aa032 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64c3fcb081909b1fe867b4adac8b completed March 20, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a40bee88190ae97f6d409b51e96 completed March 21, 2026, 6:27 a.m.
NEDg Description generation batch_69be3af59ef88190a5acc493978d412e completed March 21, 2026, 6:30 a.m.
NED2 Entity disambiguation (via description) batch_69be3c8533fc8190b512d3fec34e7e28 completed March 21, 2026, 6:36 a.m.
Created at: March 20, 2026, 1:20 p.m.