Triple
T21950102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xun Kuang |
E542041
|
entity |
| Predicate | viewOnMusic |
P146664
|
FINISHED |
| Object | music as means of moral cultivation |
—
|
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: music as means of moral cultivation | Statement: [Xun Kuang, viewOnMusic, music as means of moral cultivation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOnMusic Context triple: [Xun Kuang, viewOnMusic, music as means of moral cultivation]
-
A.
viewIs
Indicates that one entity is a visual representation or perspective of another entity.
-
B.
viewOnImages
Indicates that one entity views or displays another entity specifically in the form of images.
-
C.
viewOnSin
Indicates a person's stance, opinion, or doctrinal position regarding what constitutes sin or sinful behavior.
-
D.
viewOnHereafter
Indicates a subject’s beliefs, opinions, or perspective regarding the afterlife or what happens after death.
-
E.
visualAlbum
Indicates a relationship where an album is presented or released as a visual work, typically combining its music with video or film content.
- 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1243bb9c88190a3774b9fa2af9871 |
completed | April 28, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69e6f601f2188190893bcdde0cf58ad6 |
completed | April 21, 2026, 3:58 a.m. |
| PDg | Predicate description generation | batch_69e6fb9b75308190addc3dba7b5d5ddd |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 7:58 p.m.