Triple

T5950155
Position Surface form Disambiguated ID Type / Status
Subject Vladimir Zhirinovsky E132375 entity
Predicate patronymicName P7966 FINISHED
Object Volfovich
Volfovich is the patronymic derived from the given name of Vladimir Zhirinovsky’s father, used as part of the Russian politician’s full name.
 E568990 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: Volfovich | Statement: [Vladimir Zhirinovsky, patronymicName, Volfovich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Volfovich
Context triple: [Vladimir Zhirinovsky, patronymicName, Volfovich]
  • A. Vasilevsky
    Vasilevsky is a Russian surname most prominently associated with Aleksandr Vasilevsky, a leading Soviet military commander and Marshal of the Soviet Union during World War II.
  • B. Vitaly
    Vitaly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • C. Vasily
    Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • D. Leonid
    Leonid is a masculine given name of Slavic origin, notably borne by Soviet leader Leonid Brezhnev.
  • E. Anatoly
    Anatoly is a masculine given name of Slavic origin, commonly used in Russian-speaking 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: Volfovich
Triple: [Vladimir Zhirinovsky, patronymicName, Volfovich]
Generated description
Volfovich is the patronymic derived from the given name of Vladimir Zhirinovsky’s father, used as part of the Russian politician’s full name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Volfovich
Target entity description: Volfovich is the patronymic derived from the given name of Vladimir Zhirinovsky’s father, used as part of the Russian politician’s full name.
  • A. Vasilevsky
    Vasilevsky is a Russian surname most prominently associated with Aleksandr Vasilevsky, a leading Soviet military commander and Marshal of the Soviet Union during World War II.
  • B. Vitaly
    Vitaly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • C. Vasily
    Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • D. Leonid
    Leonid is a masculine given name of Slavic origin, notably borne by Soviet leader Leonid Brezhnev.
  • E. Anatoly
    Anatoly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • F. None of above. chosen

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_69c00869d3308190af89b2453e0f7546 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0397fd19081908ab31b190deb8247 completed March 22, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c125019b188190ac8c6a9bdc3a4e53 completed March 23, 2026, 11:33 a.m.
NEDg Description generation batch_69c125d888cc819092b765d47f1d9f9f completed March 23, 2026, 11:36 a.m.
NED2 Entity disambiguation (via description) batch_69c126f308988190ab6cb6c79ea12877 completed March 23, 2026, 11:41 a.m.
Created at: March 22, 2026, 4:02 p.m.