Triple

T11982593
Position Surface form Disambiguated ID Type / Status
Subject Cinderella’s chateau E285197 entity
Predicate visualToneInDisneyFilm P102722 FINISHED
Object darker interiors compared to the bright royal palace 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: darker interiors compared to the bright royal palace | Statement: [Cinderella’s chateau, visualToneInDisneyFilm, darker interiors compared to the bright royal palace]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: visualToneInDisneyFilm
Context triple: [Cinderella’s chateau, visualToneInDisneyFilm, darker interiors compared to the bright royal palace]
  • A. disneyLabel
    Indicates that an entity is labeled, branded, or categorized under the Disney franchise or organization.
  • B. musicalCharacter
    Indicates that one entity is a character or role that appears within the other entity, which is a musical work or production.
  • C. disneyAnimatedFeatureNumber
    Indicates the ordinal number assigned to a film within the sequence of Disney animated feature productions.
  • D. soundtrackFeatures
    Indicates that a particular soundtrack includes or showcases a given piece of music, artist, or audio element as part of its content.
  • E. hasFilmColorType
    Indicates that a film is associated with a particular color process or color classification (e.g., color, black-and-white).
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903acbb9081908fe7f8360057785c completed April 10, 2026, 2:05 p.m.
PD Predicate disambiguation batch_69d902abca70819098291aa51b593708 completed April 10, 2026, 2:01 p.m.
PDg Predicate description generation batch_69d903a8695c8190bfa9d7ca50834f9f completed April 10, 2026, 2:05 p.m.
Created at: April 8, 2026, 9:46 p.m.