Triple

T16950325
Position Surface form Disambiguated ID Type / Status
Subject Vitali Klitschko E411164 entity
Predicate givenName P17 FINISHED
Object Vitali E445957 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: Vitali | Statement: [Vitali Klitschko, givenName, Vitali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vitali
Context triple: [Vitali Klitschko, givenName, 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. 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.
  • E. Vasilevsky
    Vasilevsky is a Russian surname most prominently associated with Aleksandr Vasilevsky, a leading Soviet military commander and Marshal of the Soviet Union during World War II.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cfb6e5fc8190b1bd3ad1c2773685 completed April 18, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cff033ec8190b927c0f3da0b321b completed May 10, 2026, 6:35 p.m.
Created at: April 10, 2026, 5:31 a.m.