Triple

T17473514
Position Surface form Disambiguated ID Type / Status
Subject Konstantin Korovin E425477 entity
Predicate givenName P17 FINISHED
Object Konstantin 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: Konstantin | Statement: [Konstantin Korovin, givenName, Konstantin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Konstantin
Context triple: [Konstantin Korovin, givenName, Konstantin]
  • A. Konstantin chosen
    Konstantin is a masculine given name of Latin origin, widely used in Slavic and other European cultures, meaning “steadfast” or “constant.”
  • B. Vsevolod
    Vsevolod is a masculine given name of Slavic origin, most notably borne by the influential Russian theatre director Vsevolod Meyerhold.
  • C. Oleg
    Oleg is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • D. Konstantin Mostras
    Konstantin Mostras was a prominent Russian violin pedagogue of the early 20th century, known for training influential violinists such as Ivan Galamian.
  • 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 (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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451b990848190b2e8510d67e94b79 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.