Triple
T2814344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple Magic Mouse |
E54246
|
entity |
| Predicate | marketedAs |
P1395
|
FINISHED |
| Object | Magic Mouse |
E54246
|
NE 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: Magic Mouse | Statement: [Apple Magic Mouse, marketedAs, Magic Mouse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magic Mouse Context triple: [Apple Magic Mouse, marketedAs, Magic Mouse]
-
A.
Apple Magic Mouse
chosen
The Apple Magic Mouse is a sleek, multi-touch wireless mouse designed by Apple for Mac computers, featuring gesture-based controls and a rechargeable battery.
-
B.
Apple Desktop Bus Mouse
The Apple Desktop Bus Mouse is a compact, single-button computer mouse designed by Apple for use with classic Macintosh systems that featured the Apple Desktop Bus interface.
-
C.
Apple Wireless Keyboard
The Apple Wireless Keyboard is a compact, Bluetooth-enabled keyboard designed by Apple for use with Mac computers and other compatible devices.
-
D.
MacBook
MacBook is Apple’s line of macOS-based laptop computers known for their sleek design, high-resolution displays, and tight hardware–software integration.
-
E.
Mac mini
The Mac mini is a compact desktop computer designed by Apple that offers full macOS functionality in a small, versatile form factor suitable for both consumer and professional use.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ab49de0af08190b3da69683be1e728 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde4ba34c819085a336498fc326b0 |
completed | March 7, 2026, 8:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8aecd5081909b38d229904e5bde |
completed | March 10, 2026, 9:47 a.m. |
Created at: March 6, 2026, 9:59 p.m.