Triple

T21599542
Position Surface form Disambiguated ID Type / Status
Subject Игрок E532997 entity
Predicate основан на личном опыте автора P115636 FINISHED
Object страсть Достоевского к игре в рулетку LITERAL 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: страсть Достоевского к игре в рулетку | Statement: [Игрок, основан на личном опыте автора, страсть Достоевского к игре в рулетку]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: основан на личном опыте автора
Context triple: [Игрок, основан на личном опыте автора, страсть Достоевского к игре в рулетку]
  • A. basedOnAuthor
    Indicates that one entity is derived from, inspired by, or otherwise created on the basis of the work or contributions of a particular author.
  • B. relatedToAuthorExperience chosen
    Indicates that something has a connection to, is influenced by, or is derived from the author's personal experiences.
  • C. basedOnExperience
    Indicates that something is determined, chosen, or formed according to prior experience or experiential knowledge.
  • D. gaveFirsthandExperienceOf
    Indicates that one entity directly provided another entity with personal, firsthand experience of something, rather than secondhand or indirect knowledge.
  • E. basedOnOwnWork
    Indicates that something is derived from, created using, or directly built upon the subject’s own prior work.
  • F. None of above.

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_69e0c46364608190a337dc8720dc2a35 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eefae4746c819090afe1d93fe9f175 completed April 27, 2026, 5:57 a.m.
PD Predicate disambiguation batch_69e632109d048190b4ac3f14fe48d1a0 completed April 20, 2026, 2:02 p.m.
Created at: April 16, 2026, 6:32 p.m.