Triple

T2906095
Position Surface form Disambiguated ID Type / Status
Subject Oleg Baklanov E62766 entity
Predicate familyName P18 FINISHED
Object Baklanov
Baklanov is a Russian surname most notably associated with Soviet politician and aerospace official Oleg Baklanov.
 E310337 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: Baklanov | Statement: [Oleg Baklanov, familyName, Baklanov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Baklanov
Context triple: [Oleg Baklanov, familyName, Baklanov]
  • A. Lukyanov
    Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
  • 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. Kostrikov
    Kostrikov is the original surname of Soviet political leader Sergei Kirov, used before he adopted his more famous revolutionary name.
  • D. Antoshka
    Antoshka is a common Russian diminutive form of the male given name Anton, often used affectionately or informally.
  • E. Kologriv
    Kologriv is a small historic town in Kostroma Oblast, Russia, known for its traditional wooden architecture and location within a forested, sparsely populated region.
  • 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: Baklanov
Triple: [Oleg Baklanov, familyName, Baklanov]
Generated description
Baklanov is a Russian surname most notably associated with Soviet politician and aerospace official Oleg Baklanov.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Baklanov
Target entity description: Baklanov is a Russian surname most notably associated with Soviet politician and aerospace official Oleg Baklanov.
  • A. Lukyanov
    Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
  • 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. Kostrikov
    Kostrikov is the original surname of Soviet political leader Sergei Kirov, used before he adopted his more famous revolutionary name.
  • D. Antoshka
    Antoshka is a common Russian diminutive form of the male given name Anton, often used affectionately or informally.
  • E. Kologriv
    Kologriv is a small historic town in Kostroma Oblast, Russia, known for its traditional wooden architecture and location within a forested, sparsely populated region.
  • 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_69ab4c3e070c8190b78d3d2c005876dd completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abe0cee7988190875665145c3cd605 completed March 7, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b05612e79081908c962c2fe2e362d6 completed March 10, 2026, 5:34 p.m.
NEDg Description generation batch_69b0622ea7b081908fe2029e61e21766 completed March 10, 2026, 6:25 p.m.
NED2 Entity disambiguation (via description) batch_69b0630cd0348190882a4d3d90b217c3 completed March 10, 2026, 6:29 p.m.
Created at: March 6, 2026, 10:11 p.m.