Triple

T15340846
Position Surface form Disambiguated ID Type / Status
Subject Vasiliy Lomachenko E366789 entity
Predicate givenName P17 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: [Vasiliy Lomachenko, givenName, Vasyl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vasyl
Context triple: [Vasiliy Lomachenko, givenName, Vasyl]
  • A. Vasyl chosen
    Vasyl is a common Ukrainian male given name, equivalent to Basil in English.
  • B. Vadym
    Vadym is a masculine given name of Slavic origin, commonly used in Ukraine and other Eastern European countries.
  • C. Oleksy
    Oleksy is a Polish surname most notably borne by Józef Oleksy, a prominent Polish politician and former Prime Minister.
  • D. Tymofiy
    Tymofiy is a masculine given name of Ukrainian origin, notably borne by economist and former Ukrainian minister Tymofiy Mylovanov.
  • E. Bohdan
    Bohdan is a masculine given name of Slavic origin, notably borne by the 17th-century Ukrainian Cossack leader Bohdan Khmelnytsky.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e12eb7c8190944a260aa1aa9156 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b41f130819082ea69ea535468ce completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:17 a.m.