Triple

T22922033
Position Surface form Disambiguated ID Type / Status
Subject Zheglov E568887 entity
Predicate givenName P17 FINISHED
Object Gleb 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: Gleb | Statement: [Zheglov, givenName, Gleb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gleb
Context triple: [Zheglov, givenName, Gleb]
  • A. Gavril
    Gavril is a masculine given name, commonly used in Slavic and Eastern European cultures, that derives from the Hebrew name Gabriel.
  • B. Gleb of Kiev chosen
    Gleb of Kiev was an early 11th-century Kievan Rus' prince venerated as one of the first Russian saints and martyrs, traditionally regarded as a pious son of Vladimir the Great.
  • C. Oleg
    Oleg is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • D. Vasily
    Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • E. Vova
    Vova is a common Russian diminutive form of the male given name Vladimir.
  • 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_69e2458d90c88190a58cead4e781ca6a completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180d6841c81908df6d4e501860a15 completed April 29, 2026, 3:53 a.m.
Created at: April 17, 2026, 3:43 p.m.