Triple
T17521364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agg |
E426684
|
entity |
| Predicate | roleInMatplotlib |
P127786
|
FINISHED |
| Object | default raster graphics backend |
—
|
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: default raster graphics backend | Statement: [Agg, roleInMatplotlib, default raster graphics backend]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInMatplotlib Context triple: [Agg, roleInMatplotlib, default raster graphics backend]
-
A.
roleInPhotoshop
Indicates that an entity has a specific function or position within the context of using or working with Adobe Photoshop.
-
B.
roleInVega
Indicates that an entity holds a specific role or function within the Vega context (such as the Vega project, system, or framework).
-
C.
roleInReact
Indicates that an entity participates in a reaction with a specified functional or contextual role (e.g., reactant, product, catalyst, or regulator).
-
D.
roleInGemini10
Indicates that an entity holds a specific role or position in the context of the Gemini 10 mission or project.
-
E.
roleInArt
Indicates the specific function, position, or contribution an entity has within a particular artwork or artistic production.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d2f79881909556894728e255ab |
completed | April 19, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f8b9888190aa8a45e09acf4319 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb37d148190b7f38599c06594ee |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:49 a.m.