Triple

T3594381
Position Surface form Disambiguated ID Type / Status
Subject Oleksandr Turchynov E76101 entity
Predicate familyName P18 FINISHED
Object Turchynov
Turchynov is a Ukrainian politician and former acting president of Ukraine known for his roles in the country’s post-2014 political transition.
 E376228 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: Turchynov | Statement: [Oleksandr Turchynov, familyName, Turchynov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Turchynov
Context triple: [Oleksandr Turchynov, familyName, Turchynov]
  • A. Bérégovoy
    Bérégovoy is the surname of Pierre Bérégovoy, a prominent French Socialist politician who served as Prime Minister of France in the early 1990s.
  • 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. Lukyanov
    Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
  • D. Kornienko
    Kornienko is a Ukrainian surname most notably borne by Oleksandr Kornienko, a contemporary Ukrainian politician and public figure.
  • E. Kozlov
    Kozlov is the former Russian name of the city now known as Gözleve (Eupatoria) in Crimea, reflecting its historical period under Russian influence.
  • 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: Turchynov
Triple: [Oleksandr Turchynov, familyName, Turchynov]
Generated description
Turchynov is a Ukrainian politician and former acting president of Ukraine known for his roles in the country’s post-2014 political transition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Turchynov
Target entity description: Turchynov is a Ukrainian politician and former acting president of Ukraine known for his roles in the country’s post-2014 political transition.
  • A. Bérégovoy
    Bérégovoy is the surname of Pierre Bérégovoy, a prominent French Socialist politician who served as Prime Minister of France in the early 1990s.
  • 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. Lukyanov
    Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
  • D. Kornienko
    Kornienko is a Ukrainian surname most notably borne by Oleksandr Kornienko, a contemporary Ukrainian politician and public figure.
  • E. Kozlov
    Kozlov is the former Russian name of the city now known as Gözleve (Eupatoria) in Crimea, reflecting its historical period under Russian influence.
  • 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_69ad85d8042081908af94a04c410dec0 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc15d3e308190b8352ef1f054f9c3 completed March 8, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44efeacf481908dd9a26f348f9977 completed March 13, 2026, 5:53 p.m.
NEDg Description generation batch_69b453c225b481908cc06090bcd0ed64 completed March 13, 2026, 6:13 p.m.
NED2 Entity disambiguation (via description) batch_69b45f6aefd081909dfd1740f233dbf3 completed March 13, 2026, 7:03 p.m.
Created at: March 8, 2026, 3:22 p.m.