Triple

T2442072
Position Surface form Disambiguated ID Type / Status
Subject Andriy E53298 entity
Predicate hasVariant P455 FINISHED
Object Andrey E2779 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: Andrey | Statement: [Andriy, hasVariant, Andrey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrey
Context triple: [Andriy, hasVariant, Andrey]
  • A. Andrei chosen
    Andrei is a masculine given name commonly used in Slavic and Eastern European countries, equivalent to the English name Andrew.
  • B. 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.
  • C. Alexey
    Alexey is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and derived from the Greek name Alexios, meaning "defender" or "helper."
  • D. Sergei
    Sergei is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • E. Dimitri
    Dimitri is a masculine given name of Greek origin, commonly used in various cultures and languages.
  • 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_69ab495b6dac8190ac82661aa1452222 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9f94e388190b6e49d4f7bbb6697 completed March 7, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69b4c34fb7d881908d45f96f621d26ad completed March 14, 2026, 2:09 a.m.
Created at: March 6, 2026, 9:43 p.m.