Triple

T29472355
Position Surface form Disambiguated ID Type / Status
Subject Белое солнце пустыни E747543 entity
Predicate культовыйСтатус P15621 FINISHED
Object фильм-классика советского кино 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: фильм-классика советского кино | Statement: [Белое солнце пустыни, культовыйСтатус, фильм-классика советского кино]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: культовыйСтатус
Context triple: [Белое солнце пустыни, культовыйСтатус, фильм-классика советского кино]
  • A. popularCultureStatus
    Indicates the degree to which something is recognized, influential, or prominent within mainstream popular culture.
  • B. cultStatus chosen
    Indicates that something has achieved a devoted, niche following or admiration that is disproportionate to its mainstream popularity.
  • C. cultureStatus
    Indicates the current condition or state of a culture (e.g., biological, social, or organizational) in relation to its development, viability, or activity.
  • D. classicStatus
    Indicates that an entity has been designated or recognized as a classic according to some standard or criteria.
  • E. controversialStatus
    Indicates that the subject is associated with debate, dispute, or disagreement regarding its acceptance, validity, or appropriateness.
  • 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_69f0bd42cf308190bb01b20bc5b7c2d0 completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f66bd2451c8190ad14604068f308d8 completed May 2, 2026, 9:25 p.m.
PD Predicate disambiguation batch_69f6659b62fc8190b21555d0ba54db2d completed May 2, 2026, 8:59 p.m.
Created at: April 28, 2026, 3:58 p.m.