Triple

T27066090
Position Surface form Disambiguated ID Type / Status
Subject Chotushkone E685176 entity
Predicate hasMetaCinematicElement P155555 FINISHED
Object film within a film 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: film within a film | Statement: [Chotushkone, hasMetaCinematicElement, film within a film]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMetaCinematicElement
Context triple: [Chotushkone, hasMetaCinematicElement, film within a film]
  • A. hasCinematicFeature
    Indicates that something possesses a specific cinematic characteristic, quality, or element related to film or visual storytelling.
  • B. metacinematicElement chosen
    Indicates that one element in a work refers to, comments on, or foregrounds the nature, techniques, or conventions of cinema or filmmaking itself.
  • C. hasCinematicShort
    Indicates that an entity is associated with or includes a cinematic short film or short-form cinematic content.
  • D. hasCinematicThemes
    Indicates that something incorporates or is characterized by themes, motifs, or stylistic elements commonly associated with cinema or film.
  • E. hasMetaNarrativeElement
    Indicates that a work contains self-referential or self-aware storytelling features that comment on, frame, or otherwise draw attention to its own narrative structure or status as a narrative.
  • 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_69ef14835fcc81908bd737b4267ae528 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f739a638748190808e7a2930dce16e completed May 3, 2026, 12:03 p.m.
PD Predicate disambiguation batch_69f732f2dc6c8190a4e86da98cc5eb05 completed May 3, 2026, 11:35 a.m.
Created at: April 27, 2026, 8:25 a.m.