Triple

T19989134
Position Surface form Disambiguated ID Type / Status
Subject Nikolai Shvernik E494013 entity
Predicate familyName P18 FINISHED
Object Shvernik
Shvernik is a Russian surname most notably associated with Nikolai Shvernik, a prominent Soviet political figure and former Chairman of the Presidium of the Supreme Soviet.
 E1405899 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: Shvernik | Statement: [Nikolai Shvernik, familyName, Shvernik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shvernik
Context triple: [Nikolai Shvernik, familyName, Shvernik]
  • A. Shchors
    Shchors is a 1939 Soviet biographical war film directed by Alexander Dovzhenko about the Ukrainian Bolshevik commander Nikolai Shchors.
  • B. Krutov
    Krutov is the namesake of a KLM airline route, likely a notable individual after whom the line was dedicated.
  • C. Fedoruk
    Fedoruk is a Ukrainian-origin surname borne by various notable individuals, including Canadian physicist and former Saskatchewan lieutenant governor Sylvia Fedoruk.
  • D. Ratmir
    Ratmir is a Tatar prince who appears as a gallant yet ultimately reformed seducer in Alexander Pushkin’s narrative poem "Ruslan and Ludmila."
  • E. Sokolovsky
    Sokolovsky is a Russian surname most notably associated with Soviet military commander Vasily Sokolovsky.
  • 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: Shvernik
Triple: [Nikolai Shvernik, familyName, Shvernik]
Generated description
Shvernik is a Russian surname most notably associated with Nikolai Shvernik, a prominent Soviet political figure and former Chairman of the Presidium of the Supreme Soviet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shvernik
Target entity description: Shvernik is a Russian surname most notably associated with Nikolai Shvernik, a prominent Soviet political figure and former Chairman of the Presidium of the Supreme Soviet.
  • A. Shchors
    Shchors is a 1939 Soviet biographical war film directed by Alexander Dovzhenko about the Ukrainian Bolshevik commander Nikolai Shchors.
  • B. Krutov
    Krutov is the namesake of a KLM airline route, likely a notable individual after whom the line was dedicated.
  • C. Fedoruk
    Fedoruk is a Ukrainian-origin surname borne by various notable individuals, including Canadian physicist and former Saskatchewan lieutenant governor Sylvia Fedoruk.
  • D. Ratmir
    Ratmir is a Tatar prince who appears as a gallant yet ultimately reformed seducer in Alexander Pushkin’s narrative poem "Ruslan and Ludmila."
  • E. Sokolovsky
    Sokolovsky is a Russian surname most notably associated with Soviet military commander Vasily Sokolovsky.
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fddfee081909aa8cd6e279b2a7a completed April 20, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0804ffe4a88190a45e704f791f49f2 completed May 16, 2026, 5:47 a.m.
NEDg Description generation batch_6a08061f6aa08190a7c8b4fc55ea1400 completed May 16, 2026, 5:52 a.m.
NED2 Entity disambiguation (via description) batch_6a080706231c819081499808132fad82 completed May 16, 2026, 5:56 a.m.
Created at: April 11, 2026, 3:30 p.m.