Triple

T21372254
Position Surface form Disambiguated ID Type / Status
Subject Fyodor Golovin E527095 entity
Predicate givenName P17 FINISHED
Object Fyodor NE NERFINISHED

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: Fyodor | Statement: [Fyodor Golovin, givenName, Fyodor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fyodor
Context triple: [Fyodor Golovin, givenName, Fyodor]
  • A. Fyodor chosen
    Fyodor is a masculine given name of Russian origin, most famously borne by the novelist Fyodor Dostoevsky.
  • B. Pyotr
    Pyotr is the Russian given name of Peter Kropotkin, the influential 19th-century anarchist philosopher, geographer, and revolutionary.
  • C. Pyotr
    Pyotr is a Russian masculine given name, equivalent to Peter, commonly borne by notable historical and cultural figures.
  • D. Fyodor Ivanovich
    Fyodor Ivanovich is the central male protagonist of the Soviet war drama film "The Cranes Are Flying," whose experiences reflect the personal and emotional toll of World War II.
  • E. Alyosha Peshkov
    Alyosha Peshkov is the young, semi-autobiographical protagonist of Maxim Gorky’s novel "My Childhood," depicting his harsh upbringing and moral development in late 19th-century Russia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51e80808190ba5cb05667af02a9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0b0d5ec81908da8f38380dbdc7a completed April 22, 2026, 11:27 a.m.
Created at: April 16, 2026, 5:10 p.m.