Triple

T21212591
Position Surface form Disambiguated ID Type / Status
Subject Daniil Kharms E522756 entity
Predicate givenName P17 FINISHED
Object Daniil 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: Daniil | Statement: [Daniil Kharms, givenName, Daniil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniil
Context triple: [Daniil Kharms, givenName, Daniil]
  • A. Danil
    Danil is a masculine given name, common in Slavic countries, that is a variant of Daniel and typically means "God is my judge."
  • B. Daniil Dandan chosen
    Daniil Dandan is the pseudonym of Daniil Kharms, an early Soviet avant-garde writer known for his absurdist short stories and plays.
  • C. Vadim
    Vadim is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • D. Dimitri
    Dimitri is a masculine given name of Greek origin, commonly used in various cultures and languages.
  • E. Ilya
    Ilya is a common Russian given name, notably borne by star ice hockey player Ilya Kovalchuk.
  • 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_69e0b511ed84819099b449b4a111085c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7346f762c8190a9f57d9e00d94d28 completed April 21, 2026, 8:25 a.m.
Created at: April 16, 2026, 3:38 p.m.