Triple

T29553290
Position Surface form Disambiguated ID Type / Status
Subject Piano Sonata No. 1 in F-sharp minor, Op. 11 E749835 entity
Predicate hasThematicTransformation P172833 FINISHED
Object true 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: true | Statement: [Piano Sonata No. 1 in F-sharp minor, Op. 11, hasThematicTransformation, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasThematicTransformation
Context triple: [Piano Sonata No. 1 in F-sharp minor, Op. 11, hasThematicTransformation, true]
  • A. hasTransformation
    Indicates that one entity changes or is converted into another entity, capturing a transformation process or result.
  • B. hasThematicOrigin
    Indicates that something originates from, or is thematically derived from, a particular source, subject, or theme.
  • C. usesTransformation
    Indicates that one entity applies or relies on a specific transformation process, method, or function to operate on or convert another entity.
  • D. includesTransformation
    Indicates that one entity’s process, definition, or composition contains or involves a transformation applied to another entity.
  • E. transformationTheme
    Indicates a thematic relationship in which one entity centers on or explores the process, experience, or idea of transformation in another.
  • 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_69f0bd4919e48190942b2a13d5b97d03 completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f6b0d21dd08190a9883ff71c94c71c completed May 3, 2026, 2:20 a.m.
PD Predicate disambiguation batch_69f6aca204148190850a3dc325bc07b7 completed May 3, 2026, 2:02 a.m.
PDg Predicate description generation batch_69f6afeaaef88190aefa97e83f8db906 completed May 3, 2026, 2:16 a.m.
Created at: April 28, 2026, 5:14 p.m.