Triple
T30328310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liebesfrühling |
E771400
|
entity |
| Predicate | hasMusicalSettingBy |
P19883
|
FINISHED |
| Object | Robert Schumann |
—
|
NE NERFINISHED |
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: Robert Schumann | Statement: [Liebesfrühling, hasMusicalSettingBy, Robert Schumann]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicalSettingBy Context triple: [Liebesfrühling, hasMusicalSettingBy, Robert Schumann]
-
A.
hasMusicalSettingsBy
chosen
Indicates that a work has been set to music or musically arranged by a specified creator or composer.
-
B.
musicalSettingMayBe
Indicates that one entity can serve as a musical setting or arrangement for another (such as a text, work, or performance context).
-
C.
hasMusical
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
-
D.
hasMusicalArrangementCharacteristic
Indicates that a musical arrangement possesses a specific characteristic, feature, or quality.
-
E.
hasMusicalForm
Indicates that one entity (typically a musical work or piece) is characterized by or structured according to a particular musical form.
- 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_69f22489ee8481909344649bfbb92e83 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: April 29, 2026, 7:53 p.m.