Triple
T7089082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Echo Flex |
E165145
|
entity |
| Predicate | supportsService |
P203
|
FINISHED |
| Object | Audible |
E31207
|
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: Audible | Statement: [Echo Flex, supportsService, Audible]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Audible Context triple: [Echo Flex, supportsService, Audible]
-
A.
Audible
chosen
Audible is a leading audiobook and spoken-word entertainment platform that offers a vast library of audio content through digital downloads and streaming.
-
B.
Amazon Music
Amazon Music is a music streaming and digital storefront service offering on-demand songs, playlists, and podcasts across multiple devices.
-
C.
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.
-
D.
Rdio
Rdio was an online music streaming service known for its sleek design and social features, founded by Skype co-founder Janus Friis and launched in 2010.
-
E.
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.
- 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_69c6887d98408190912b9580666b0c1d |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e52ec0348190ac090c2fee3edfb8 |
completed | March 27, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a31e3fec8190b22da130f7cbaaf9 |
completed | March 28, 2026, 9:45 a.m. |
Created at: March 27, 2026, 2:41 p.m.