Triple

T8469785
Position Surface form Disambiguated ID Type / Status
Subject Robert Schumann: Arabeske in C major, Op. 18 E200250 entity
Predicate dynamicRange P4679 FINISHED
Object wide and nuanced 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: wide and nuanced | Statement: [Robert Schumann: Arabeske in C major, Op. 18, dynamicRange, wide and nuanced]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dynamicRange
Context triple: [Robert Schumann: Arabeske in C major, Op. 18, dynamicRange, wide and nuanced]
  • A. displacementRange
    Indicates the minimum and maximum extent of positional change or movement that an entity can undergo or exhibits.
  • B. typicalMasteringRange
    Indicates the usual or standard value range within which a mastering-related parameter (such as level, loudness, or processing amount) is typically set.
  • C. range chosen
    Indicates that a value, property, or effect extends between specified limits or over a specified interval or scope.
  • D. operationalRange
    Indicates the span of conditions (such as distance, time, or environment) within which a system, device, or process can function effectively and safely.
  • E. typicalRange
    Indicates the usual or expected range of values, conditions, or states within which something normally occurs or applies.
  • 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_69ca831a4f348190bfdd09250e86ae35 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4d5dd088190a79050417f527f14 completed March 31, 2026, 3:14 p.m.
PD Predicate disambiguation batch_69cbd10072cc819084be1ed9ac7ebe9d completed March 31, 2026, 1:49 p.m.
Created at: March 30, 2026, 6:11 p.m.