Triple
T29853394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Der Neugierige |
E758121
|
entity |
| Predicate | cycleNumberInDieSchöneMüllerin |
P172834
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Der Neugierige, cycleNumberInDieSchöneMüllerin, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cycleNumberInDieSchöneMüllerin Context triple: [Der Neugierige, cycleNumberInDieSchöneMüllerin, 6]
-
A.
cycleNumberInDichterliebe
Indicates the specific position or sequence number that a given item occupies within the song cycle "Dichterliebe."
-
B.
movementNumberInKinderszenen
Indicates the specific movement or piece’s position within the larger work "Kinderszenen."
-
C.
theatricalCycle
Indicates a recurring sequence of theatrical events, performances, or productions that are grouped together as a unified cycle.
-
D.
cycleType
Indicates the specific kind or category of cycle involved in a repeated or cyclical process or relationship.
-
E.
cycleWith
Indicates that two or more entities participate together in a cycling activity, such as riding bicycles along the same route or at the same time.
- 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_69f2245a82cc8190a387e7d0118d710b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6b0d21dd08190a9883ff71c94c71c |
completed | May 3, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6afeaaef88190aefa97e83f8db906 |
completed | May 3, 2026, 2:16 a.m. |
Created at: April 29, 2026, 5:45 p.m.