Triple

T933277
Position Surface form Disambiguated ID Type / Status
Subject Dmytro Razumkov E20140 entity
Predicate givenName P17 FINISHED
Object Dmytro
Dmytro is a common Ukrainian male given name, equivalent to "Dmitry" in Russian and derived from the Greek name Demetrios.
 E142599 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: Dmytro | Statement: [Dmytro Razumkov, givenName, Dmytro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dmytro
Context triple: [Dmytro Razumkov, givenName, Dmytro]
  • A. Andriy
    Andriy is a Slavic given name, equivalent to the English name Andrew.
  • B. Oleksandr
    Oleksandr is the Ukrainian form of the given name Alexander, commonly used in Ukraine and among Ukrainian speakers.
  • C. Andriy Zahorodniuk
    Andriy Zahorodniuk is a Ukrainian politician and defense expert who served as Ukraine’s Minister of Defence in the late 2010s.
  • D. Vladyslav Kryklii
    Vladyslav Kryklii is a Ukrainian politician who served as the country’s Minister of Infrastructure in the late 2010s.
  • E. 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.
  • 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: Dmytro
Triple: [Dmytro Razumkov, givenName, Dmytro]
Generated description
Dmytro is a common Ukrainian male given name, equivalent to "Dmitry" in Russian and derived from the Greek name Demetrios.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dmytro
Target entity description: Dmytro is a common Ukrainian male given name, equivalent to "Dmitry" in Russian and derived from the Greek name Demetrios.
  • A. Andriy
    Andriy is a Slavic given name, equivalent to the English name Andrew.
  • B. Oleksandr
    Oleksandr is the Ukrainian form of the given name Alexander, commonly used in Ukraine and among Ukrainian speakers.
  • C. Andriy Zahorodniuk
    Andriy Zahorodniuk is a Ukrainian politician and defense expert who served as Ukraine’s Minister of Defence in the late 2010s.
  • D. Vladyslav Kryklii
    Vladyslav Kryklii is a Ukrainian politician who served as the country’s Minister of Infrastructure in the late 2010s.
  • E. 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.
  • 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_69a493af3dc48190adb7263e6e445ea1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3627ccc8190a836515b2ea85ec5 completed March 1, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f62a0c481909186e09aa914a029 completed March 7, 2026, 8:49 p.m.
NEDg Description generation batch_69ac90675b608190a2b4f2b128f7ff71 completed March 7, 2026, 8:53 p.m.
NED2 Entity disambiguation (via description) batch_69ac915a9f588190b7848d436fd70d7b completed March 7, 2026, 8:58 p.m.
Created at: March 1, 2026, 7:40 p.m.