Triple

T2425106
Position Surface form Disambiguated ID Type / Status
Subject Goldberg Variations E53507 entity
Predicate tonalDesign P38495 FINISHED
Object predominantly in G major with some G minor variations 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: predominantly in G major with some G minor variations | Statement: [Goldberg Variations, tonalDesign, predominantly in G major with some G minor variations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tonalDesign
Context triple: [Goldberg Variations, tonalDesign, predominantly in G major with some G minor variations]
  • A. designTrend
    Indicates a prevailing or emerging stylistic direction or pattern that influences how something is designed over a period of time.
  • B. designedWith
    Indicates that one entity was created, planned, or developed using another entity as a tool, method, or guiding basis in its design process.
  • C. hasDesign
    Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
  • D. structuralStyle
    Indicates the architectural or design style that characterizes the structure or form of an entity.
  • E. designLuminosity
    Indicates the specified luminosity level or brightness characteristics that something is designed or intended to have.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9f342e88190a430b02842ded418 completed March 7, 2026, 6:47 a.m.
PD Predicate disambiguation batch_69abc5a889948190b77de4ef6ac815a8 completed March 7, 2026, 6:28 a.m.
PDg Predicate description generation batch_69abc9f1ba608190b488874bed3533dd completed March 7, 2026, 6:47 a.m.
Created at: March 6, 2026, 9:42 p.m.