Triple

T4196643
Position Surface form Disambiguated ID Type / Status
Subject Sergei Zubov E89168 entity
Predicate familyName P18 FINISHED
Object Zubov
Zubov is a Russian surname most notably associated with figures such as Hockey Hall of Fame defenseman Sergei Zubov.
E419241 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: Zubov | Statement: [Sergei Zubov, familyName, Zubov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zubov
Context triple: [Sergei Zubov, familyName, Zubov]
  • A. 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.
  • 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. Akhromeyev
    Akhromeyev is the surname of Sergei Akhromeyev, a prominent Soviet military leader and Marshal of the Soviet Union.
  • D. Kozlov
    Kozlov is the former Russian name of the city now known as Gözleve (Eupatoria) in Crimea, reflecting its historical period under Russian influence.
  • 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: Zubov
Triple: [Sergei Zubov, familyName, Zubov]
Generated description
Zubov is a Russian surname most notably associated with figures such as Hockey Hall of Fame defenseman Sergei Zubov.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zubov
Target entity description: Zubov is a Russian surname most notably associated with figures such as Hockey Hall of Fame defenseman Sergei Zubov.
  • A. 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.
  • 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. Akhromeyev
    Akhromeyev is the surname of Sergei Akhromeyev, a prominent Soviet military leader and Marshal of the Soviet Union.
  • D. Kozlov
    Kozlov is the former Russian name of the city now known as Gözleve (Eupatoria) in Crimea, reflecting its historical period under Russian influence.
  • 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_69aed9569a4481908b6c1fcec2a11e21 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af035f9f788190a4bcfeda646fbebf completed March 9, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a0ff2a08190ac7f89d306454ab8 completed March 14, 2026, 4:17 p.m.
NEDg Description generation batch_69b58aa95428819085048691c77e2aea completed March 14, 2026, 4:19 p.m.
NED2 Entity disambiguation (via description) batch_69b58b34c4e881909fd44fbe8acedda4 completed March 14, 2026, 4:22 p.m.
Created at: March 9, 2026, 3:46 p.m.