Triple

T626757
Position Surface form Disambiguated ID Type / Status
Subject Vasily Chuikov E15835 entity
Predicate givenName P17 FINISHED
Object Vasily E101378 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: Vasily | Statement: [Vasily Chuikov, givenName, Vasily]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vasily
Context triple: [Vasily Chuikov, givenName, Vasily]
  • A. Vasily chosen
    Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • B. Gavril
    Gavril is a masculine given name, commonly used in Slavic and Eastern European cultures, that derives from the Hebrew name Gabriel.
  • C. Pyotr
    Pyotr is the Russian given name of Peter Kropotkin, the influential 19th-century anarchist philosopher, geographer, and revolutionary.
  • D. Pavel Batov
    Pavel Batov was a distinguished Soviet general who commanded key formations on the Eastern Front during World War II and later held senior military and political posts in the USSR.
  • E. Ivan
    Ivan is a common Slavic male given name widely used in Russia and other Eastern European countries, equivalent to "John" in English.
  • 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e587c448190987943a6aad209d1 completed March 1, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69acddf440848190aa5019ffcedd4859 completed March 8, 2026, 2:24 a.m.
Created at: March 1, 2026, 7:35 p.m.