Triple

T22230359
Position Surface form Disambiguated ID Type / Status
Subject The River (1951 film) E549448 entity
Predicate cinemaTechnique P2760 FINISHED
Object location shooting in India 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: location shooting in India | Statement: [The River (1951 film), cinemaTechnique, location shooting in India]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cinemaTechnique
Context triple: [The River (1951 film), cinemaTechnique, location shooting in India]
  • A. filmingTechnique chosen
    Indicates the specific method or style used to capture visual content during the filming process.
  • B. cinematicForm
    Indicates that something is expressed, structured, or realized through the techniques, conventions, or medium of cinema or film.
  • C. filmmakingTechnology
    Indicates the use or involvement of specific tools, methods, or equipment in the process of creating films.
  • D. 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.
  • 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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12bf2a26c81908aaf614d7c75e219 completed April 28, 2026, 9:51 p.m.
PD Predicate disambiguation batch_69e71b5177d881908f90abde14ada7dc completed April 21, 2026, 6:38 a.m.
Created at: April 16, 2026, 8:37 p.m.