Triple

T1498094
Position Surface form Disambiguated ID Type / Status
Subject Vassili Zaitsev E29732 entity
Predicate givenName P17 FINISHED
Object Vassili 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: Vassili | Statement: [Vassili Zaitsev, givenName, Vassili]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vassili
Context triple: [Vassili Zaitsev, givenName, Vassili]
  • A. Vasily chosen
    Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • B. 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.
  • C. Gavril
    Gavril is a masculine given name, commonly used in Slavic and Eastern European cultures, that derives from the Hebrew name Gabriel.
  • D. Semyon
    Semyon is a masculine given name of Russian origin, commonly used in Slavic countries.
  • E. Leonid
    Leonid is a masculine given name of Slavic origin, notably borne by Soviet leader Leonid Brezhnev.
  • 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_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6ef5ce88190a6b520525a6d42a3 completed March 1, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3a390bc8190891ebd5d8a48d818 completed March 9, 2026, 11:48 a.m.
Created at: March 1, 2026, 8:12 p.m.