Triple

T7080773
Position Surface form Disambiguated ID Type / Status
Subject Vasily Sokolovsky E164947 entity
Predicate familyName P18 FINISHED
Object Sokolovsky
Sokolovsky is a Russian surname most notably associated with Soviet military commander Vasily Sokolovsky.
 E643755 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: Sokolovsky | Statement: [Vasily Sokolovsky, familyName, Sokolovsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sokolovsky
Context triple: [Vasily Sokolovsky, familyName, Sokolovsky]
  • A. Firsov
    Firsov is a Russian surname most notably associated with Anatoli Firsov, a legendary Soviet ice hockey forward.
  • B. 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.
  • C. Pozdnyshev
    Pozdnyshev is the tormented, jealous husband and central narrator of Leo Tolstoy’s novella "The Kreutzer Sonata," whose confession of murdering his wife drives the story’s exploration of marriage, sexuality, and morality.
  • D. Lukyanov
    Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
  • E. Alekseyev
    Alekseyev is a Russian surname borne by various notable figures in Russian history, military, and culture.
  • 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: Sokolovsky
Triple: [Vasily Sokolovsky, familyName, Sokolovsky]
Generated description
Sokolovsky is a Russian surname most notably associated with Soviet military commander Vasily Sokolovsky.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sokolovsky
Target entity description: Sokolovsky is a Russian surname most notably associated with Soviet military commander Vasily Sokolovsky.
  • A. Firsov
    Firsov is a Russian surname most notably associated with Anatoli Firsov, a legendary Soviet ice hockey forward.
  • B. 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.
  • C. Pozdnyshev
    Pozdnyshev is the tormented, jealous husband and central narrator of Leo Tolstoy’s novella "The Kreutzer Sonata," whose confession of murdering his wife drives the story’s exploration of marriage, sexuality, and morality.
  • D. Lukyanov
    Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
  • E. Alekseyev
    Alekseyev is a Russian surname borne by various notable figures in Russian history, military, and culture.
  • 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_69c6887cbc6c8190bdfac42d940f4d8a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4f1f5748190b214856bcfc70d81 completed March 27, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a31c26808190870e6bcdef45d1d7 completed March 28, 2026, 9:45 a.m.
NEDg Description generation batch_69c7a48bd2048190869c4e15c9c016b8 completed March 28, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_69c7a5f558788190805a0c87b2390a8d completed March 28, 2026, 9:57 a.m.
Created at: March 27, 2026, 2:40 p.m.