Triple

T17473515
Position Surface form Disambiguated ID Type / Status
Subject Konstantin Korovin E425477 entity
Predicate familyName P18 FINISHED
Object Korovin
Korovin is a Russian surname most notably associated with the Impressionist painter Konstantin Korovin.
 E1272992 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: Korovin | Statement: [Konstantin Korovin, familyName, Korovin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Korovin
Context triple: [Konstantin Korovin, familyName, Korovin]
  • A. Larionov
    Larionov is a person after whom the KLM line is named, likely recognized for notable contributions or significance related to that context.
  • B. Dvortsevoy
    Dvortsevoy is the surname of Sergey Dvortsevoy, a Kazakh-born Russian film director and screenwriter known for his documentary and feature films.
  • C. 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.
  • D. Kovalev
    Kovalev is a common Russian surname borne by several notable figures in sports, politics, and the arts.
  • E. Chebutykin
    Chebutykin is the aging, disillusioned army doctor whose cynicism and emotional detachment embody the themes of lost hope and stagnation in Anton Chekhov’s play "Three Sisters."
  • 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: Korovin
Triple: [Konstantin Korovin, familyName, Korovin]
Generated description
Korovin is a Russian surname most notably associated with the Impressionist painter Konstantin Korovin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Korovin
Target entity description: Korovin is a Russian surname most notably associated with the Impressionist painter Konstantin Korovin.
  • A. Larionov
    Larionov is a person after whom the KLM line is named, likely recognized for notable contributions or significance related to that context.
  • B. Dvortsevoy
    Dvortsevoy is the surname of Sergey Dvortsevoy, a Kazakh-born Russian film director and screenwriter known for his documentary and feature films.
  • C. 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.
  • D. Kovalev
    Kovalev is a common Russian surname borne by several notable figures in sports, politics, and the arts.
  • E. Chebutykin
    Chebutykin is the aging, disillusioned army doctor whose cynicism and emotional detachment embody the themes of lost hope and stagnation in Anton Chekhov’s play "Three Sisters."
  • 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451b990848190b2e8510d67e94b79 completed April 19, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01c933b4108190a897c672740b92d8 completed May 11, 2026, 12:18 p.m.
NEDg Description generation batch_6a01ca5fae748190a46cd90134679438 completed May 11, 2026, 12:23 p.m.
NED2 Entity disambiguation (via description) batch_6a01cac44fac8190995ccac3d9e73693 completed May 11, 2026, 12:25 p.m.
Created at: April 10, 2026, 5:47 a.m.