Triple

T5410146
Position Surface form Disambiguated ID Type / Status
Subject Vir Heroicus Sublimis E120993 entity
Predicate intendedViewerExperience P63265 FINISHED
Object immersive encounter with color 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: immersive encounter with color | Statement: [Vir Heroicus Sublimis, intendedViewerExperience, immersive encounter with color]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: intendedViewerExperience
Context triple: [Vir Heroicus Sublimis, intendedViewerExperience, immersive encounter with color]
  • A. intendedViewingDistance
    Indicates the distance at which something is meant or designed to be viewed or observed.
  • B. hasVirtualExperience
    Indicates that one entity possesses or has participated in a virtual or digitally simulated experience related to another entity.
  • C. hasViewingConditions
    Indicates that one entity is associated with specific viewing conditions under which it is meant to be observed or evaluated.
  • D. intendedTheatre
    Indicates a relationship where an entity is planned, designed, or meant to be performed, shown, or take place in a particular theatre.
  • E. viewOnReality
    Indicates a subject’s overarching perspective, interpretation, or conceptual stance regarding the nature of reality.
  • 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_69bd463a41cc8190b32ff5af2b96ca93 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8796a420819092c1771407cd1a5d completed March 20, 2026, 5:44 p.m.
PD Predicate disambiguation batch_69bd8467e6b48190b9eaa9de67072e06 completed March 20, 2026, 5:31 p.m.
PDg Predicate description generation batch_69bd865702ec8190831bde2c2a331f28 completed March 20, 2026, 5:39 p.m.
Created at: March 20, 2026, 2:05 p.m.