Triple

T17856763
Position Surface form Disambiguated ID Type / Status
Subject Vitaly E445957 entity
Predicate hasVariant P455 FINISHED
Object Vitali 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: Vitali | Statement: [Vitaly, hasVariant, Vitali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vitali
Context triple: [Vitaly, hasVariant, Vitali]
  • A. Vitaly chosen
    Vitaly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • B. Vitalie
    Vitalie is a given name of Romanian origin, used as a masculine first name in various Eastern European countries.
  • C. Volfovich
    Volfovich is the patronymic derived from the given name of Vladimir Zhirinovsky’s father, used as part of the Russian politician’s full name.
  • D. Vadim
    Vadim is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • E. Valentin Kataev
    Valentin Kataev was a prominent Soviet novelist, playwright, and journalist known for his satirical and socially engaged works reflecting life in the Soviet Union.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4978bd5e081909e192f6aada5235f completed April 19, 2026, 8:51 a.m.
Created at: April 10, 2026, 10:17 a.m.