Triple

T2269604
Position Surface form Disambiguated ID Type / Status
Subject Gregory E50625 entity
Predicate hasVariant P455 FINISHED
Object Grigory E315592 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: Grigory | Statement: [Gregory, hasVariant, Grigory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grigory
Context triple: [Gregory, hasVariant, Grigory]
  • A. Gavril
    Gavril is a masculine given name, commonly used in Slavic and Eastern European cultures, that derives from the Hebrew name Gabriel.
  • B. Vasily
    Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • C. Grigory Semyonov
    Grigory Semyonov was a Russian Cossack military leader and prominent anti-Bolshevik figure who commanded White forces in Siberia and the Russian Far East during the Russian Civil War.
  • D. Grigori chosen
    Grigori is the given name of Grigori Rasputin, the controversial Russian mystic and advisor to the Romanov royal family in the early 20th century.
  • E. Oleg
    Oleg is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • 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_69a88b05910c8190a9a2b1ff230c85f9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1bd376c8190a43decde599f62e6 completed March 7, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69b432e588308190bd331d7b8776e546 completed March 13, 2026, 3:53 p.m.
Created at: March 4, 2026, 7:48 p.m.