Triple

T5333652
Position Surface form Disambiguated ID Type / Status
Subject Hypergonar lens E123370 entity
Predicate projectionEffect P62888 FINISHED
Object restores correct image proportions on screen 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: restores correct image proportions on screen | Statement: [Hypergonar lens, projectionEffect, restores correct image proportions on screen]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: projectionEffect
Context triple: [Hypergonar lens, projectionEffect, restores correct image proportions on screen]
  • A. visualEffect
    Indicates that one entity produces, modifies, or is associated with a particular visual effect on another entity or within a scene.
  • B. rotationEffect
    Indicates that one entity is rotated around a specified point or axis by a given angle, affecting its orientation relative to other entities.
  • C. parallax
    Indicates the apparent shift in an object’s position relative to a background when observed from two different viewpoints or at two different times.
  • D. projectionFormat
    Indicates the specific technical format or method used to project visual content (such as film or digital media) onto a display surface.
  • E. specialEffectsBy
    Indicates that the special effects for something (such as a film, scene, or shot) are created or provided by a particular person or entity.
  • F. None of above. chosen

Provenance (4 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_69bd46477f9081909d242a327d749466 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85ac8e10819088b6a9e02d927044 completed March 20, 2026, 5:36 p.m.
PD Predicate disambiguation batch_69bd84583dbc819088a03e3afb30178c completed March 20, 2026, 5:31 p.m.
PDg Predicate description generation batch_69bd8501d53c81908371bd5195ba5703 completed March 20, 2026, 5:33 p.m.
Created at: March 20, 2026, 2 p.m.