Triple
T1447818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kindle |
E31214
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Kindle Paperwhite |
E31214
|
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: Kindle Paperwhite | Statement: [Kindle, hasVariant, Kindle Paperwhite]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kindle Paperwhite Context triple: [Kindle, hasVariant, Kindle Paperwhite]
-
A.
Kindle
chosen
Kindle is Amazon’s line of portable e-readers designed primarily for reading digital books and other electronic publications.
-
B.
Google Play Books
Google Play Books is a digital distribution service and e-book/audiobook reader platform from Google that lets users purchase, download, and read or listen to books across devices.
-
C.
Surface Book
Surface Book is a high-end 2-in-1 laptop from Microsoft featuring a detachable touchscreen display that can function as a tablet.
-
D.
Fire TV
Fire TV is Amazon’s digital media platform and line of streaming devices that let users watch online video, use apps, and access Alexa on their televisions.
-
E.
Kindle Direct Publishing
Kindle Direct Publishing is Amazon’s self-publishing platform that allows authors and publishers to independently publish and sell digital and print books directly to readers worldwide.
- 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_69a499171a28819085b993a3ac78e363 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c55aa7dc8190aa7452d80ec8305e |
completed | March 1, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad08c229808190af9936b481390170 |
completed | March 8, 2026, 5:27 a.m. |
Created at: March 1, 2026, 8 p.m.