Triple

T21954349
Position Surface form Disambiguated ID Type / Status
Subject Arnold Schwarzenegger as Mr. Freeze E542145 entity
Predicate visualEffectStyle P103631 FINISHED
Object 1990sBlockbusterAesthetic 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: 1990sBlockbusterAesthetic | Statement: [Arnold Schwarzenegger as Mr. Freeze, visualEffectStyle, 1990sBlockbusterAesthetic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: visualEffectStyle
Context triple: [Arnold Schwarzenegger as Mr. Freeze, visualEffectStyle, 1990sBlockbusterAesthetic]
  • A. visualEffect
    Indicates that one entity produces, modifies, or is associated with a particular visual effect on another entity or within a scene.
  • B. videoStyle chosen
    Indicates the stylistic characteristics or presentation format applied to a video (such as tone, visual approach, or editing style).
  • C. stylisticEffect
    Indicates the relationship where one element produces, contributes to, or embodies a particular stylistic impact or impression on another.
  • D. projectionEffect
    Indicates the visual or spatial transformation produced when something is projected from one surface, medium, or viewpoint onto another.
  • E. transparencyEffects
    Indicates how the level or presence of transparency in one entity influences the perception, behavior, or properties of another entity.
  • 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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1243dfb4081909bc7a722843ffea7 completed April 28, 2026, 9:18 p.m.
PD Predicate disambiguation batch_69e6f601f2188190893bcdde0cf58ad6 completed April 21, 2026, 3:58 a.m.
Created at: April 16, 2026, 7:59 p.m.