Triple

T21341777
Position Surface form Disambiguated ID Type / Status
Subject Nikolai Kuznetsov E526211 entity
Predicate familyName P18 FINISHED
Object Kuznetsov
Kuznetsov is a common Russian surname borne by numerous notable figures in fields such as politics, science, sports, and the arts.
E1479240 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: Kuznetsov | Statement: [Nikolai Kuznetsov, familyName, Kuznetsov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuznetsov
Context triple: [Nikolai Kuznetsov, familyName, Kuznetsov]
  • A. Shaposhnikov
    Shaposhnikov is a Russian surname most notably associated with Soviet military leader Boris Shaposhnikov.
  • B. Akhromeyev
    Akhromeyev is the surname of Sergei Akhromeyev, a prominent Soviet military leader and Marshal of the Soviet Union.
  • C. Klimov
    Klimov is a Russian aerospace company renowned for designing and producing military and civilian gas-turbine engines, particularly for fighter aircraft and helicopters.
  • D. Fedorov
    Fedorov is a common Russian surname borne by numerous notable figures in fields such as sports, science, and the arts.
  • E. Zubov
    Zubov is a Russian surname most notably associated with figures such as Hockey Hall of Fame defenseman Sergei Zubov.
  • 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: Kuznetsov
Triple: [Nikolai Kuznetsov, familyName, Kuznetsov]
Generated description
Kuznetsov is a common Russian surname borne by numerous notable figures in fields such as politics, science, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kuznetsov
Target entity description: Kuznetsov is a common Russian surname borne by numerous notable figures in fields such as politics, science, sports, and the arts.
  • A. Shaposhnikov
    Shaposhnikov is a Russian surname most notably associated with Soviet military leader Boris Shaposhnikov.
  • B. Akhromeyev
    Akhromeyev is the surname of Sergei Akhromeyev, a prominent Soviet military leader and Marshal of the Soviet Union.
  • C. Klimov
    Klimov is a Russian aerospace company renowned for designing and producing military and civilian gas-turbine engines, particularly for fighter aircraft and helicopters.
  • D. Fedorov
    Fedorov is a common Russian surname borne by numerous notable figures in fields such as sports, science, and the arts.
  • E. Zubov
    Zubov is a Russian surname most notably associated with figures such as Hockey Hall of Fame defenseman Sergei Zubov.
  • 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_69e0b51c33048190ab27cede74ef798c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8a84fa8088190afda63af7f4ce586 completed April 22, 2026, 10:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09a5c687088190bff6ab64c0a53600 completed May 17, 2026, 11:25 a.m.
NEDg Description generation batch_6a09a6848c1c8190992ae7cdfeabdcf8 completed May 17, 2026, 11:29 a.m.
NED2 Entity disambiguation (via description) batch_6a09aae23f2c81908f08d290277e22f9 completed May 17, 2026, 11:47 a.m.
Created at: April 16, 2026, 4:44 p.m.