Triple

T9404066
Position Surface form Disambiguated ID Type / Status
Subject Valery E226539 entity
Predicate hasVariant P455 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: [Valery, hasVariant, Valeri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valeri
Context triple: [Valery, hasVariant, Valeri]
  • A. Valeri
    Valeri is the surname of Argentine former professional footballer Diego Valeri, best known as a creative midfielder and Portland Timbers legend in Major League Soccer.
  • B. Valery chosen
    Valery is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • C. 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.
  • D. Vitaly
    Vitaly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • E. Valentin Varennikov
    Valentin Varennikov was a high-ranking Soviet Army general and political figure who played a prominent role in late Cold War military operations and later became involved in Russian politics.
  • 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_69ca843170f88190800a8ab2b5fc568e completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51bf7e5c8190850b671778496150 completed April 1, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12ccfdf8c819092f2aa1ebe48ac83 completed April 4, 2026, 3:22 p.m.
Created at: March 30, 2026, 7:46 p.m.