Triple

T9404065
Position Surface form Disambiguated ID Type / Status
Subject Valery E226539 entity
Predicate hasVariant P455 FINISHED
Object Valeriy 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: Valeriy | Statement: [Valery, hasVariant, Valeriy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valeriy
Context triple: [Valery, hasVariant, Valeriy]
  • 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. Vitaly
    Vitaly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • C. Valery chosen
    Valery is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • D. 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.
  • E. Andrey Voronikhin
    Andrey Voronikhin was a prominent Russian neoclassical architect of the late 18th and early 19th centuries, noted for shaping the architectural landscape of St. Petersburg.
  • 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_69d12228d8148190814646881e1f2d98 completed April 4, 2026, 2:37 p.m.
Created at: March 30, 2026, 7:46 p.m.