Triple
T29853673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Des Baches Wiegenlied |
E758128
|
entity |
| Predicate | accompanimentCharacter |
P92070
|
FINISHED |
| Object | flowing piano figuration |
—
|
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: flowing piano figuration | Statement: [Des Baches Wiegenlied, accompanimentCharacter, flowing piano figuration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accompanimentCharacter Context triple: [Des Baches Wiegenlied, accompanimentCharacter, flowing piano figuration]
-
A.
supportingCharacter
Indicates that one entity plays a secondary or assisting role in the story or context relative to another primary entity.
-
B.
accompanimentRole
Indicates the role or function an accompanying entity plays in relation to a primary entity or event.
-
C.
supportingCharacterPortrayedBy
Indicates that a supporting (non-leading) character in a work is portrayed or acted by a specific performer.
-
D.
musicalCharacter
Indicates that one entity is a character or role that appears within the other entity, which is a musical work or production.
-
E.
accompanimentType
chosen
Indicates the specific manner or style in which one entity accompanies or supports another (e.g., musically, contextually, or functionally).
- 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_69f2245a82cc8190a387e7d0118d710b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67649d26481909889228a8ca1af93 |
completed | May 2, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 5:45 p.m.