Triple
T8820769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SceneKit |
E209895
|
entity |
| Predicate | supportsMultisampling |
P84813
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [SceneKit, supportsMultisampling, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsMultisampling Context triple: [SceneKit, supportsMultisampling, true]
-
A.
supportsCompositingBackend
Indicates that one entity provides compatibility with or can operate using a specified compositing backend.
-
B.
supportsColorSampling
Indicates that one entity can perform or accommodate color sampling operations on another entity or its data.
-
C.
supportsMeshShading
Indicates that one entity provides or enables mesh shading functionality for another entity or within a given context.
-
D.
supportsInterlacedCompositeArtifacts
Indicates that one entity provides compatibility with or functionality for handling interlaced composite artifacts associated with another entity.
-
E.
supportsInterlacedVideo
Indicates that an entity is capable of handling, processing, or displaying interlaced video signals.
- 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_69ca8364e13081909c85fe80f44fe86f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc601126248190b6f10c22f1aeac9a |
completed | April 1, 2026, midnight |
| PD | Predicate disambiguation | batch_69cc5c21e64c81908490e3b0875dc0d6 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cff3608819081d2d7e5c16d44b7 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:46 p.m.