Triple

T5407485
Position Surface form Disambiguated ID Type / Status
Subject Tymofiy Mylovanov E120928 entity
Predicate familyName P18 FINISHED
Object Mylovanov
Mylovanov is the surname of Tymofiy Mylovanov, a Ukrainian economist and former government minister known for his work on economic policy and reform.
 E517016 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: Mylovanov | Statement: [Tymofiy Mylovanov, familyName, Mylovanov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mylovanov
Context triple: [Tymofiy Mylovanov, familyName, Mylovanov]
  • A. Kozlov
    Kozlov is a historic Russian town, now known as Michurinsk, that developed as a significant regional center of trade and agriculture.
  • B. Kozlov
    Kozlov is the former Russian name of the city now known as Gözleve (Eupatoria) in Crimea, reflecting its historical period under Russian influence.
  • C. Arapov
    Arapov is a Slavic masculine surname commonly found in Russian-speaking countries.
  • D. Vyazemsky
    Vyazemsky is a small town in Russia’s Far Eastern Federal District, serving as an administrative center within Khabarovsk Krai.
  • E. Lukyanov
    Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
  • 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: Mylovanov
Triple: [Tymofiy Mylovanov, familyName, Mylovanov]
Generated description
Mylovanov is the surname of Tymofiy Mylovanov, a Ukrainian economist and former government minister known for his work on economic policy and reform.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mylovanov
Target entity description: Mylovanov is the surname of Tymofiy Mylovanov, a Ukrainian economist and former government minister known for his work on economic policy and reform.
  • A. Kozlov
    Kozlov is a historic Russian town, now known as Michurinsk, that developed as a significant regional center of trade and agriculture.
  • B. Kozlov
    Kozlov is the former Russian name of the city now known as Gözleve (Eupatoria) in Crimea, reflecting its historical period under Russian influence.
  • C. Arapov
    Arapov is a Slavic masculine surname commonly found in Russian-speaking countries.
  • D. Vyazemsky
    Vyazemsky is a small town in Russia’s Far Eastern Federal District, serving as an administrative center within Khabarovsk Krai.
  • E. Lukyanov
    Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
  • 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_69bd46391c0c81909fa484446732b6a3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8793ab3c81909992b257d462a554 completed March 20, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf33990f248190841493f0720aa8ee completed March 22, 2026, 12:11 a.m.
NEDg Description generation batch_69bf345c91588190aea6e50de902b1d2 completed March 22, 2026, 12:14 a.m.
NED2 Entity disambiguation (via description) batch_69bf34d20d54819086349a656923f6e9 completed March 22, 2026, 12:16 a.m.
Created at: March 20, 2026, 2:05 p.m.