Triple
T6541697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexa mobile app |
E168302
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Fire TV |
E31215
|
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: Fire TV | Statement: [Alexa mobile app, integratesWith, Fire TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fire TV Context triple: [Alexa mobile app, integratesWith, Fire TV]
-
A.
Fire TV
chosen
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.
-
B.
Roku
Roku is a popular digital media player platform that streams internet-based television, movies, and other content through apps and channels on connected TVs.
-
C.
Nvidia Shield TV
Nvidia Shield TV is a high-performance streaming media player and gaming device that runs on the Android TV platform and supports 4K HDR content.
-
D.
Chromecast
Chromecast is Google's line of streaming devices that let users cast video, music, and other content from phones or computers to a TV.
-
E.
Amazon Fire tablet
The Amazon Fire tablet is a line of budget-friendly Android-based tablets by Amazon, designed for media consumption, reading, and integration with Amazon’s digital services.
- 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_69c68a51564081909e93aee0dbd9cca3 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6add9036081908917ff27ceed1038 |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d541f25081909a4b218fd38718c6 |
completed | March 27, 2026, 7:06 p.m. |
Created at: March 27, 2026, 1:50 p.m.