Triple

T14349732
Position Surface form Disambiguated ID Type / Status
Subject Zinovy E355820 entity
Predicate scriptForm P9329 FINISHED
Object Зиновий
Зиновий — мужское русское личное имя, происходящее от греческого имени Зенобий и традиционно употребляемое в славянской православной культуре.
 E1094663 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: Зиновий | Statement: [Zinovy, scriptForm, Зиновий]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Зиновий
Context triple: [Zinovy, scriptForm, Зиновий]
  • A. Vadym
    Vadym is a masculine given name of Slavic origin, commonly used in Ukraine and other Eastern European countries.
  • B. Mykola
    Mykola is the Ukrainian form of the given name Nicholas, commonly used in Ukraine and among Ukrainian communities.
  • C. Oleksy
    Oleksy is a Polish surname most notably borne by Józef Oleksy, a prominent Polish politician and former Prime Minister.
  • D. Oleksiy
    Oleksiy is a common Ukrainian male given name, equivalent to Alexei or Alexey in Russian and Alexius in Latin.
  • E. Yevhen
    Yevhen is a masculine given name of Slavic origin, commonly used in Ukraine and other Eastern European countries.
  • 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: Зиновий
Triple: [Zinovy, scriptForm, Зиновий]
Generated description
Зиновий — мужское русское личное имя, происходящее от греческого имени Зенобий и традиционно употребляемое в славянской православной культуре.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Зиновий
Target entity description: Зиновий — мужское русское личное имя, происходящее от греческого имени Зенобий и традиционно употребляемое в славянской православной культуре.
  • A. Vadym
    Vadym is a masculine given name of Slavic origin, commonly used in Ukraine and other Eastern European countries.
  • B. Mykola
    Mykola is the Ukrainian form of the given name Nicholas, commonly used in Ukraine and among Ukrainian communities.
  • C. Oleksy
    Oleksy is a Polish surname most notably borne by Józef Oleksy, a prominent Polish politician and former Prime Minister.
  • D. Oleksiy
    Oleksiy is a common Ukrainian male given name, equivalent to Alexei or Alexey in Russian and Alexius in Latin.
  • E. Yevhen
    Yevhen is a masculine given name of Slavic origin, commonly used in Ukraine and other Eastern European countries.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e8d081c8190ac805726a3e98f4c completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c4145c081909832e2334a064fb0 completed May 8, 2026, 2:36 a.m.
NEDg Description generation batch_69fd4d1415908190a04713f504491387 completed May 8, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_69fd4da8af2c8190ad3e78bbe1c9cd7a completed May 8, 2026, 2:42 a.m.
Created at: April 10, 2026, 1:14 a.m.