Triple

T942243
Position Surface form Disambiguated ID Type / Status
Subject Oleksiy Honcharuk E20331 entity
Predicate givenName P17 FINISHED
Object Oleksiy
Oleksiy is a common Ukrainian male given name, equivalent to Alexei or Alexey in Russian and Alexius in Latin.
E146702 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: Oleksiy | Statement: [Oleksiy Honcharuk, givenName, Oleksiy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oleksiy
Context triple: [Oleksiy Honcharuk, givenName, Oleksiy]
  • A. Oleksandr
    Oleksandr is the Ukrainian form of the given name Alexander, commonly used in Ukraine and among Ukrainian speakers.
  • B. Andriy
    Andriy is a Slavic given name, equivalent to the English name Andrew.
  • C. Dmytro
    Dmytro is a common Ukrainian male given name, equivalent to "Dmitry" in Russian and derived from the Greek name Demetrios.
  • D. Oleksiy Orzhel
    Oleksiy Orzhel is a Ukrainian politician and energy expert who served as Minister of Energy and Environmental Protection in the government of Oleksiy Honcharuk.
  • E. Vladyslav Kryklii
    Vladyslav Kryklii is a Ukrainian politician who served as the country’s Minister of Infrastructure in the late 2010s.
  • 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: Oleksiy
Triple: [Oleksiy Honcharuk, givenName, Oleksiy]
Generated description
Oleksiy is a common Ukrainian male given name, equivalent to Alexei or Alexey in Russian and Alexius in Latin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oleksiy
Target entity description: Oleksiy is a common Ukrainian male given name, equivalent to Alexei or Alexey in Russian and Alexius in Latin.
  • A. Oleksandr
    Oleksandr is the Ukrainian form of the given name Alexander, commonly used in Ukraine and among Ukrainian speakers.
  • B. Andriy
    Andriy is a Slavic given name, equivalent to the English name Andrew.
  • C. Dmytro
    Dmytro is a common Ukrainian male given name, equivalent to "Dmitry" in Russian and derived from the Greek name Demetrios.
  • D. Oleksiy Orzhel
    Oleksiy Orzhel is a Ukrainian politician and energy expert who served as Minister of Energy and Environmental Protection in the government of Oleksiy Honcharuk.
  • E. Vladyslav Kryklii
    Vladyslav Kryklii is a Ukrainian politician who served as the country’s Minister of Infrastructure in the late 2010s.
  • 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_69a493b0270c81909e6c9ce310f6aa55 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3a1a4888190997adf56eb761431 completed March 1, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69aca2d3cb588190882a480c18147384 completed March 7, 2026, 10:12 p.m.
NEDg Description generation batch_69aca556501c8190abd8ae1cd679919a completed March 7, 2026, 10:23 p.m.
NED2 Entity disambiguation (via description) batch_69aca7753da0819098e50ae51e967eb5 completed March 7, 2026, 10:32 p.m.
Created at: March 1, 2026, 7:40 p.m.