Triple

T985992
Position Surface form Disambiguated ID Type / Status
Subject Plan 9 from Outer Space E21280 entity
Predicate hasSpecialEffectStyle P1609 FINISHED
Object low-budget practical effects 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: low-budget practical effects | Statement: [Plan 9 from Outer Space, hasSpecialEffectStyle, low-budget practical effects]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSpecialEffectStyle
Context triple: [Plan 9 from Outer Space, hasSpecialEffectStyle, low-budget practical effects]
  • A. hasStyle chosen
    Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
  • B. 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.
  • C. hasSubstyle
    Indicates that one style is a more specific or subordinate variant of another style within a hierarchical style structure.
  • D. stylingFeature
    Indicates a visual or design-related characteristic applied to an entity, such as formatting, layout, or aesthetic treatment.
  • E. hasSpecialUnit
    Indicates that an entity possesses or is associated with a distinct, designated unit that has a special role, function, or status.
  • 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_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b496b7308190a9c201244330b784 completed March 1, 2026, 9:50 p.m.
PD Predicate disambiguation batch_69a4b2abccbc8190a83af432f89eacf5 completed March 1, 2026, 9:42 p.m.
Created at: March 1, 2026, 7:41 p.m.