Triple
T3777108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim Kardashian: Hollywood |
E83333
|
entity |
| Predicate | platform |
P1292
|
FINISHED |
| Object | Amazon Fire OS |
E165151
|
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 Fire OS | Statement: [Kim Kardashian: Hollywood, platform, Amazon Fire OS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amazon Fire OS Context triple: [Kim Kardashian: Hollywood, platform, Amazon Fire OS]
-
A.
Amazon Fire tablet
chosen
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.
-
B.
Tizen
Tizen is a Linux-based open-source operating system primarily used in smart TVs, wearables, and other embedded and IoT devices.
-
C.
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.
-
D.
Android
Android is a mobile operating system developed by Google, widely used on smartphones, tablets, and other smart devices around the world.
-
E.
HarmonyOS operating system
HarmonyOS operating system is Huawei’s distributed, multi-device operating system designed to run seamlessly across smartphones, wearables, smart TVs, and IoT devices.
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc5d3dbc8190b6ab118a56acd5a3 |
completed | March 8, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e534a02c8190b8dd76ed965f393f |
completed | March 14, 2026, 4:33 a.m. |
Created at: March 8, 2026, 3:36 p.m.