Triple

T36319163
Position Surface form Disambiguated ID Type / Status
Subject Violin Concerto in D minor E894280 entity
Predicate contrastFeature P131861 FINISHED
Object dramatic contrasts between soloist and orchestra 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: dramatic contrasts between soloist and orchestra | Statement: [Violin Concerto in D minor, contrastFeature, dramatic contrasts between soloist and orchestra]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: contrastFeature
Context triple: [Violin Concerto in D minor, contrastFeature, dramatic contrasts between soloist and orchestra]
  • A. contrastCharacteristic chosen
    Indicates that two entities are being compared by highlighting opposing or significantly different characteristics between them.
  • B. contrastUse
    Indicates that one entity is used in opposition or distinction to another to highlight differences between them.
  • C. contrastExplanation
    Indicates an explanation that highlights differences between two or more entities, ideas, or situations by contrasting them.
  • D. contrastGoal
    Indicates a relationship where one goal is defined in opposition to, or as a contrasting alternative to, another goal.
  • E. contrastMechanism
    Indicates a relationship where one mechanism is highlighted or explained by comparing it against a different, opposing, or alternative mechanism.
  • 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_69f76e4d1a788190a6ab6ccca28547a7 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69ff0e9c75208190a4423261f00b79b3 completed May 9, 2026, 10:38 a.m.
PD Predicate disambiguation batch_69ff0e07f08481909c4ae322632a6bf0 completed May 9, 2026, 10:35 a.m.
Created at: May 3, 2026, 4:09 p.m.