Triple
T1773064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Du Ring an meinem Finger |
E38916
|
entity |
| Predicate | isOftenRecordedWith |
P31723
|
FINISHED |
| Object | complete Frauenliebe und -leben cycle |
—
|
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: complete Frauenliebe und -leben cycle | Statement: [Du Ring an meinem Finger, isOftenRecordedWith, complete Frauenliebe und -leben cycle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOftenRecordedWith Context triple: [Du Ring an meinem Finger, isOftenRecordedWith, complete Frauenliebe und -leben cycle]
-
A.
isFrequentlyRecorded
Indicates that an entity is captured or documented many times within a given dataset, medium, or context.
-
B.
recordedWith
Indicates that something was captured, documented, or produced using a particular tool, device, medium, or method.
-
C.
recordedFor
Indicates that something has been documented, captured, or logged on behalf of or in association with a particular entity or context.
-
D.
laterRecordedIn
Indicates that the referenced information or event was documented or captured at a later time in the specified source or record.
-
E.
recorded
Indicates that one entity captured, stored, or documented information, audio, video, or data about another entity or event.
- 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab39fc2c448190bfaf1ee8d474632a |
completed | March 6, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69aa61cbb1288190a7ba38b61905f578 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab39faf69c8190bae98d3e3911078f |
completed | March 6, 2026, 8:32 p.m. |
Created at: March 4, 2026, 7:31 p.m.