Triple

T19758459
Position Surface form Disambiguated ID Type / Status
Subject Pavlo Rozenko E474563 entity
Predicate givenName P17 FINISHED
Object Pavlo 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: Pavlo | Statement: [Pavlo Rozenko, givenName, Pavlo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pavlo
Context triple: [Pavlo Rozenko, givenName, Pavlo]
  • A. Pavlo chosen
    Pavlo is a masculine given name of Slavic origin, commonly used in Ukrainian and other Eastern European cultures as a form of "Paul."
  • B. Petrushevych
    Petrushevych is a Ukrainian surname most notably associated with Yevhen Petrushevych, a prominent early 20th-century Ukrainian politician and statesman.
  • C. Vasyl
    Vasyl is a common Ukrainian male given name, equivalent to Basil in English.
  • D. Oleksy
    Oleksy is a Polish surname most notably borne by Józef Oleksy, a prominent Polish politician and former Prime Minister.
  • E. Vadym
    Vadym is a masculine given name of Slavic origin, commonly used in Ukraine and other Eastern European countries.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6531d711c8190996fcf967c39c523 completed April 20, 2026, 4:23 p.m.
Created at: April 10, 2026, 1:48 p.m.