Triple
T29690018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musix GNU+Linux (historical) |
E751186
|
entity |
| Predicate | supportsGraphicsEditing |
P85679
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Musix GNU+Linux (historical), supportsGraphicsEditing, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsGraphicsEditing Context triple: [Musix GNU+Linux (historical), supportsGraphicsEditing, yes]
-
A.
supportsSceneEditing
Indicates that an entity provides the capability to modify, arrange, or otherwise edit a scene within a given environment or application.
-
B.
supportsEditingType
Indicates that one entity enables or allows another entity to perform or handle a specified type of editing.
-
C.
supportsPageEditing
Indicates that an entity enables or allows editing actions to be performed on a page.
-
D.
supportsMultiClipEditing
Indicates that the subject provides functionality to edit multiple clips simultaneously within the same editing context.
-
E.
hasEditingFeature
chosen
Indicates that an entity possesses a capability or function related to modifying or editing content.
- F. None of above.
Provenance (3 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_69f0d625b09481909b0b69aea1e846c8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e0f3d88190a4ee7b0673f1ef90 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 28, 2026, 7:16 p.m.