Triple
T29026104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ritter vom Steckenpferd |
E737595
|
entity |
| Predicate | movementNumberInKinderszenen |
P168747
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Ritter vom Steckenpferd, movementNumberInKinderszenen, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: movementNumberInKinderszenen Context triple: [Ritter vom Steckenpferd, movementNumberInKinderszenen, 8]
-
A.
movementCountFirstSonata
Indicates the number of movements contained in the first sonata.
-
B.
movementCountThirdSonata
Indicates the number of movements contained in a work identified as the third sonata.
-
C.
movementCountSecondSonata
Indicates the number of movements contained in a musical work identified as the second sonata.
-
D.
typicalMovementCountPerSymphony
Indicates the usual number of movements that a symphony typically contains.
-
E.
workNumberWithinCantata
Indicates that a musical work’s number is specified within the ordered sequence of pieces that make up a cantata.
- 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_69f67805551c81909e016ae9e3031076 |
completed | May 2, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676f73c3481909f01fa69851b7298 |
completed | May 2, 2026, 10:13 p.m. |
Created at: April 28, 2026, 9:52 a.m.