Triple

T3206739
Position Surface form Disambiguated ID Type / Status
Subject Valeri Kharlamov E67179 entity
Predicate givenName P17 FINISHED
Object Valeri E226539 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: Valeri | Statement: [Valeri Kharlamov, givenName, Valeri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valeri
Context triple: [Valeri Kharlamov, givenName, Valeri]
  • A. Valery chosen
    Valery is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • B. 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.
  • C. Valeri Kamensky
    Valeri Kamensky is a former Russian ice hockey star and Stanley Cup champion known for his prolific scoring in both the NHL and international play.
  • D. Valentin Pavlov
    Valentin Pavlov was a Soviet politician and economist who briefly served as the last Prime Minister of the Soviet Union during its final months before dissolution.
  • E. Andrei Voronkov
    Andrei Voronkov is a computer scientist known for his influential work in automated reasoning and theorem proving.
  • 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaa56c21c8190b6aa7c56cb15ad56 completed March 8, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24bcf7b2481908bc52cfa71bd313c completed March 12, 2026, 5:14 a.m.
Created at: March 8, 2026, 3:07 p.m.