Triple

T19338567
Position Surface form Disambiguated ID Type / Status
Subject North of Superior E483687 entity
Predicate cinematographyFeature P2760 FINISHED
Object extensive aerial shots 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: extensive aerial shots | Statement: [North of Superior, cinematographyFeature, extensive aerial shots]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cinematographyFeature
Context triple: [North of Superior, cinematographyFeature, extensive aerial shots]
  • A. cinematographyBy
    Indicates that the cinematographic work (such as the camera work or visual style of a film or video) is created or supervised by a specified person or entity.
  • B. cinematographyAwardedTo
    Indicates that a cinematography-related award has been given to a particular recipient (such as a person or team) for their work.
  • C. cinematicForm
    Indicates that something is expressed, structured, or realized through the techniques, conventions, or medium of cinema or film.
  • D. filmingTechnique chosen
    Indicates the specific method or style used to capture visual content during the filming process.
  • E. cinematicContext
    Indicates the relationship in which something is situated within, shaped by, or relevant to the circumstances, style, or conventions of cinema or film.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6185538d48190ae4fa3ac0b0ca182 completed April 20, 2026, 12:13 p.m.
PD Predicate disambiguation batch_69e4dd12303c8190a2027c062b2dff40 completed April 19, 2026, 1:48 p.m.
Created at: April 10, 2026, 1:33 p.m.