Triple
T11651094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nook e-reader |
E276904
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | Amazon Kindle |
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: Amazon Kindle | Statement: [Nook e-reader, competitor, Amazon Kindle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amazon Kindle Context triple: [Nook e-reader, competitor, Amazon Kindle]
-
A.
Amazon Kindle Store
Amazon Kindle Store is Amazon’s online marketplace for purchasing and downloading digital books, magazines, and other e‑reading content for Kindle devices and apps.
-
B.
Kindle
chosen
Kindle is Amazon’s line of portable e-readers designed primarily for reading digital books and other electronic publications.
-
C.
Kindle Cloud Reader
Kindle Cloud Reader is a web-based application by Amazon that lets users read and manage their Kindle ebooks directly in a browser without needing a dedicated device or app.
-
D.
Kobo eBookstore
Kobo eBookstore is an online digital bookstore offering a wide catalog of e-books and audiobooks for purchase and download, primarily for use with Kobo e-readers and apps.
-
E.
Kindle Unlimited
Kindle Unlimited is Amazon’s subscription service that lets members read and listen to a large catalog of ebooks, audiobooks, and digital magazines for a flat monthly fee.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a2cea9308190a13f7dd995ea07a4 |
completed | April 10, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee8805a91081909ff29b3357e351ee |
completed | April 26, 2026, 9:47 p.m. |
Created at: April 8, 2026, 9:39 p.m.