Triple

T20990734
Position Surface form Disambiguated ID Type / Status
Subject Tymofiy Mylovanov E517016 entity
Predicate givenName P17 FINISHED
Object Tymofiy 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: Tymofiy | Statement: [Tymofiy Mylovanov, givenName, Tymofiy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tymofiy
Context triple: [Tymofiy Mylovanov, givenName, Tymofiy]
  • A. Tymofiy chosen
    Tymofiy is a masculine given name of Ukrainian origin, notably borne by economist and former Ukrainian minister Tymofiy Mylovanov.
  • B. Vadym
    Vadym is a masculine given name of Slavic origin, commonly used in Ukraine and other Eastern European countries.
  • C. Ihor
    Ihor is a Ukrainian given name, commonly considered the Ukrainian form of Igor.
  • D. Vasyl
    Vasyl is a common Ukrainian male given name, equivalent to Basil in English.
  • E. Oleksy
    Oleksy is a Polish surname most notably borne by Józef Oleksy, a prominent Polish politician and former Prime Minister.
  • 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_69e0b4ffac148190bbade9f0eceb660b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fc1ba3d0819080d9d03817a45026 completed April 21, 2026, 4:24 a.m.
Created at: April 16, 2026, 1:49 p.m.