Triple

T16452606
Position Surface form Disambiguated ID Type / Status
Subject Fedor Tokarev E399590 entity
Predicate givenName P17 FINISHED
Object Fedor E236337 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: Fedor | Statement: [Fedor Tokarev, givenName, Fedor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fedor
Context triple: [Fedor Tokarev, givenName, Fedor]
  • A. Fedorino gore
    Fedorino gore is a famous children's poem by Russian writer Korney Chukovsky, known for its playful rhymes and animated household objects that come to life.
  • B. Fyodor chosen
    Fyodor is a masculine given name of Russian origin, most famously borne by the novelist Fyodor Dostoevsky.
  • C. Vasily
    Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • D. Rodion
    Rodion is a masculine given name of Slavic origin, most notably borne by Soviet military commander Rodion Malinovsky.
  • E. Vitaly
    Vitaly is a masculine given name of Slavic origin, commonly used in Russian-speaking 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ce19344819083d323077b742bc3 completed April 18, 2026, 7:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a009d29ee288190b59160db43069358 completed May 10, 2026, 2:58 p.m.
Created at: April 10, 2026, 5:10 a.m.