Triple
T29027280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ich hab’ im Traum geweinet |
E737627
|
entity |
| Predicate | cycleNumberInDichterliebe |
P170409
|
FINISHED |
| Object | 13 |
—
|
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: 13 | Statement: [Ich hab’ im Traum geweinet, cycleNumberInDichterliebe, 13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cycleNumberInDichterliebe Context triple: [Ich hab’ im Traum geweinet, cycleNumberInDichterliebe, 13]
-
A.
movementNumberInKinderszenen
Indicates the specific movement or piece’s position within the larger work "Kinderszenen."
-
B.
numberOfCantatasInCycle
Indicates the total count of cantatas that are included within a specific cycle.
-
C.
inBeethovenPianoSonataCycle
Indicates that something is part of, or occurs within, the cycle of Beethoven’s piano sonatas.
-
D.
workNumberInCarminaBurana
Indicates that the entity is identified by a specific work number within the collection *Carmina Burana*.
-
E.
numberOfOdes
Indicates the quantity of odes associated with or contained in a given entity.
- 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_69f69063edbc81909e7735954aabee0b |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68f6584a88190a8c4d95c0c84bee9 |
completed | May 2, 2026, 11:57 p.m. |
Created at: April 28, 2026, 9:53 a.m.