Triple

T13085999
Position Surface form Disambiguated ID Type / Status
Subject Oleg Baklanov E310337 entity
Predicate givenName P17 FINISHED
Object Oleg E357811 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: Oleg | Statement: [Oleg Baklanov, givenName, Oleg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oleg
Context triple: [Oleg Baklanov, givenName, Oleg]
  • A. Oleg chosen
    Oleg is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • B. Sviatoslav
    Sviatoslav is a masculine given name of Slavic origin, historically borne by medieval rulers such as Sviatoslav I of Kiev.
  • C. Vsevolod
    Vsevolod is a masculine given name of Slavic origin, most notably borne by the influential Russian theatre director Vsevolod Meyerhold.
  • D. Oleg Sviatoslavich
    Oleg Sviatoslavich was a medieval prince of the Rurikid dynasty who ruled over Chernigov and played a significant role in the complex dynastic struggles of Kievan Rus'.
  • E. Vasily
    Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981361e8c819099376435aa3a7aa3 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d7cfe24819096e8f4cd496a6fd7 completed May 3, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:02 p.m.