Triple

T19969045
Position Surface form Disambiguated ID Type / Status
Subject Oleksandr Syrskyi E480020 entity
Predicate givenName P17 FINISHED
Object Oleksandr NE NERFINISHED

How this triple was built (2 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: Oleksandr | Statement: [Oleksandr Syrskyi, givenName, Oleksandr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oleksandr
Context triple: [Oleksandr Syrskyi, givenName, Oleksandr]
  • A. Oleksandr chosen
    Oleksandr is the Ukrainian form of the given name Alexander, commonly used in Ukraine and among Ukrainian speakers.
  • B. Oleksiy
    Oleksiy is a common Ukrainian male given name, equivalent to Alexei or Alexey in Russian and Alexius in Latin.
  • C. Oleksy
    Oleksy is a Polish surname most notably borne by Józef Oleksy, a prominent Polish politician and former Prime Minister.
  • D. Yevhen
    Yevhen is a masculine given name of Slavic origin, commonly used in Ukraine and other Eastern European countries.
  • E. Sergiy
    Sergiy is a given name, commonly used as a Ukrainian or Eastern European variant of the name Sergei.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65bc7c2fc81909b89c549a5f99e4c completed April 20, 2026, 5 p.m.
Created at: April 10, 2026, 1:54 p.m.