Triple

T11877197
Position Surface form Disambiguated ID Type / Status
Subject Penelope Pussycat E282557 entity
Predicate hasAlternativeDesigns P43516 FINISHED
Object multiple visual redesigns over the years 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: multiple visual redesigns over the years | Statement: [Penelope Pussycat, hasAlternativeDesigns, multiple visual redesigns over the years]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAlternativeDesigns
Context triple: [Penelope Pussycat, hasAlternativeDesigns, multiple visual redesigns over the years]
  • A. hasDesignOption chosen
    Indicates that an entity is associated with or offers a particular design alternative or configurable design choice.
  • B. hasDifferentFrontDesigns
    Indicates that the related entities possess distinct or non-identical designs on their front sides.
  • C. hasAlternativeAnalyses
    Indicates that an entity is associated with one or more different or optional analyses that can be considered as alternatives to a primary analysis.
  • D. hasDesign
    Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
  • E. hasAlternativeSurface
    Indicates that one entity serves as a different or substitute surface option for 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8d39d2934819093b9f7006f45e5cb completed April 10, 2026, 10:40 a.m.
PD Predicate disambiguation batch_69d8bb272f88819090c37c944c5a60ab completed April 10, 2026, 8:56 a.m.
Created at: April 8, 2026, 9:44 p.m.