Triple

T17606915
Position Surface form Disambiguated ID Type / Status
Subject The Professionals E428855 entity
Predicate cinemaProcess P24651 FINISHED
Object Panavision 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: Panavision | Statement: [The Professionals, cinemaProcess, Panavision]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panavision
Context triple: [The Professionals, cinemaProcess, Panavision]
  • A. Panavision chosen
    Panavision is an American company renowned for designing and manufacturing high-end motion picture cameras and lenses widely used in professional film production.
  • B. VistaVision
    VistaVision is a high-resolution widescreen motion picture format developed by Paramount Pictures in the 1950s that runs 35mm film horizontally to achieve finer image quality.
  • C. CinemaScope
    CinemaScope was a widescreen film format introduced in the 1950s that used anamorphic lenses to create a much wider image than traditional movie presentations.
  • D. Ultra Panavision 70
    Ultra Panavision 70 is a widescreen 70mm motion picture film format known for its extremely wide aspect ratio and high image resolution, used in epic and large-scale cinema productions.
  • E. Steadicam
    Steadicam is a camera stabilization system that allows smooth, fluid tracking shots while the operator moves freely without the shakiness of handheld filming.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46c4ccef08190aeaa88670364bd74 completed April 19, 2026, 5:46 a.m.
Created at: April 10, 2026, 5:51 a.m.