Triple
T1870174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple M1 Pro |
E39014
|
entity |
| Predicate | integratedMediaEngine |
P11233
|
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: [Apple M1 Pro, integratedMediaEngine, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: integratedMediaEngine Context triple: [Apple M1 Pro, integratedMediaEngine, yes]
-
A.
hasMediaHub
Indicates that one entity possesses, contains, or is associated with a central platform or facility for managing, distributing, or accessing media content.
-
B.
integratesNeuralEngine
chosen
Indicates that one entity incorporates or embeds a neural processing engine within its overall system or architecture.
-
C.
defaultMediaPlayer
Indicates that an entity is designated as the primary or standard media player to be used by default for media playback.
-
D.
hasMediaAdaptation
Indicates that a work has been adapted into another medium, such as film, television, or other forms of media.
-
E.
hasMediaEvent
Indicates that an entity is associated with, or participates in, a specific media-related event (such as a broadcast, publication, or coverage instance).
- 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_69a8862f7074819096afe7fe65e179e9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0f79fbc819085c54f3189a552d9 |
completed | March 7, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69abafe2b56c81909e13d543982e6e13 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:34 p.m.