Triple
T30315700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iMac Pro (2017) |
E771048
|
entity |
| Predicate | includesMouse |
P16220
|
FINISHED |
| Object | Magic Mouse 2 |
—
|
NE NERFINISHED |
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: Magic Mouse 2 | Statement: [iMac Pro (2017), includesMouse, Magic Mouse 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesMouse Context triple: [iMac Pro (2017), includesMouse, Magic Mouse 2]
-
A.
hasMouse
chosen
Indicates that an entity possesses, uses, or is associated with a mouse (typically a computer pointing device or a small rodent).
-
B.
supportsKeyboardAndMouse
Indicates that the subject provides compatibility with and can be operated using both a keyboard and a mouse.
-
C.
usesMaskIn
Indicates that an entity wears or employs a mask while present in or interacting within a specified context or location.
-
D.
includesArm
Indicates that one entity contains, incorporates, or has an arm as a component or part of itself.
-
E.
includesSpecies
Indicates that one entity contains or encompasses one or more species as part of its composition or scope.
- 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_69f22488f224819081b0f3ec41ab975c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a00776c4ebc8190899005fda34234d5 |
completed | May 10, 2026, 12:17 p.m. |
| PD | Predicate disambiguation | batch_6a0076f8a4c4819093ed577e67aa38f9 |
completed | May 10, 2026, 12:15 p.m. |
Created at: April 29, 2026, 7:51 p.m.