Triple

T10638684
Position Surface form Disambiguated ID Type / Status
Subject Vasyl E250659 entity
Predicate hasVariant P455 FINISHED
Object Vasyl’ E250659 NE FINISHED

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: Vasyl’ | Statement: [Vasyl, hasVariant, Vasyl’]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vasyl’
Context triple: [Vasyl, hasVariant, Vasyl’]
  • A. Vasyl chosen
    Vasyl is a common Ukrainian male given name, equivalent to Basil in English.
  • B. Vasyl Borodai
    Vasyl Borodai was a Soviet and Ukrainian sculptor best known for creating monumental public works, including Kyiv’s iconic Motherland Monument.
  • C. Vadym
    Vadym is a masculine given name of Slavic origin, commonly used in Ukraine and other Eastern European countries.
  • D. Oleksiy
    Oleksiy is a common Ukrainian male given name, equivalent to Alexei or Alexey in Russian and Alexius in Latin.
  • E. Oleksandr
    Oleksandr is the Ukrainian form of the given name Alexander, commonly used in Ukraine and among Ukrainian speakers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfaf12188190a5774d4d64674653 completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a4555e48190be39c0a7698b4282 completed April 10, 2026, 10:31 p.m.
Created at: April 8, 2026, 9:04 p.m.