Triple
T29026263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Träumerei |
E737600
|
entity |
| Predicate | hasExpressiveRubatoTradition |
P176731
|
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: [Träumerei, hasExpressiveRubatoTradition, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExpressiveRubatoTradition Context triple: [Träumerei, hasExpressiveRubatoTradition, true]
-
A.
hasRhythmicStyle
Indicates that one entity exhibits or is characterized by a particular rhythmic pattern or style in its expression or behavior.
-
B.
hasRhythmInfluence
Indicates that one entity has influenced or shaped the rhythmic patterns, style, or timing characteristics of another entity.
-
C.
hasTempoVariety
Indicates that an entity exhibits variation or changes in tempo rather than maintaining a constant speed.
-
D.
hasMusicalStyleCharacteristic
Indicates that something possesses or exhibits a particular musical style as a defining characteristic.
-
E.
expressiveVirtuosity
Indicates a relationship where an entity demonstrates exceptional technical skill combined with deep emotional or artistic expressiveness in its performance or creation.
- 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_69f077ef00fc81909325f084ad37c035 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6e60109648190947a64ca4ce81a3a |
completed | May 3, 2026, 6:06 a.m. |
Created at: April 28, 2026, 9:52 a.m.