Triple

T30612171
Position Surface form Disambiguated ID Type / Status
Subject Василиса E779205 entity
Predicate относитсяКТворчеству P29303 FINISHED
Object Максим Горький 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: Максим Горький | Statement: [Василиса, относитсяКТворчеству, Максим Горький]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: относитсяКТворчеству
Context triple: [Василиса, относитсяКТворчеству, Максим Горький]
  • A. cultureRelatedTo
    Indicates a relationship where one entity is connected, associated, or relevant to the culture, traditions, or cultural context of another entity.
  • B. associatedWithArtForm chosen
    Indicates a relationship where an entity is connected or linked to a particular art form, such as by practice, creation, representation, or influence.
  • C. странаСоздания
    Indicates the country in which an entity (such as a work, product, or organization) was originally created or produced.
  • D. inspiredByOrRelatedTo
    Indicates that one entity draws inspiration from, is influenced by, or is otherwise thematically or conceptually connected to another entity.
  • E. associatedWithWorkOfArt
    Indicates a relationship in which an entity is connected or related to a specific work of art, such as through creation, contribution, ownership, or contextual association.
  • 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_69f224a21fc08190abd9d8dd9eb6bb4c completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68a16debc8190a12f5f65ced055d7 completed May 2, 2026, 11:34 p.m.
PD Predicate disambiguation batch_69f6860def1c81909d79e1f088c4b5e5 completed May 2, 2026, 11:17 p.m.
Created at: April 29, 2026, 8:26 p.m.