Triple
T10039629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Des Knaben Wunderhorn (song settings) |
E205260
|
entity |
| Predicate | primaryPoeticSource |
P10578
|
FINISHED |
| Object | German folk poetry |
—
|
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: German folk poetry | Statement: [Des Knaben Wunderhorn (song settings), primaryPoeticSource, German folk poetry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryPoeticSource Context triple: [Des Knaben Wunderhorn (song settings), primaryPoeticSource, German folk poetry]
-
A.
literarySource
chosen
Indicates that one entity serves as the written or literary origin, reference, or basis for another entity.
-
B.
hasPoeticEpigraphs
Indicates that one entity (typically a work) includes poetic epigraphs associated with or prefacing another entity.
-
C.
primarySources
Indicates that one entity serves as an original, authoritative source of information or evidence for another entity.
-
D.
publisherOfOriginalPoem
Indicates the entity that originally published or issued the poem in its first or primary form.
-
E.
hasUnabridgedOriginalPoet
Indicates that something (such as a work or edition) is associated with the poet of the complete, unabridged original version.
- 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_69ca834f70e88190b2d74828b7767ec1 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcee186708190bc9fecd637b4f7e6 |
completed | April 2, 2026, 2:05 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8638508190b22acc65500ec7d6 |
completed | April 1, 2026, 4:44 p.m. |
Created at: March 30, 2026, 8:55 p.m.