Triple
T15131745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motion Sense |
E361436
|
entity |
| Predicate | marketedAs |
P1395
|
FINISHED |
| Object | Motion Sense |
E361436
|
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: Motion Sense | Statement: [Motion Sense, marketedAs, Motion Sense]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Motion Sense Context triple: [Motion Sense, marketedAs, Motion Sense]
-
A.
Motion Sense
chosen
Motion Sense is Google’s radar-based gesture control and presence detection technology that lets users interact with Pixel phones using hand movements without touching the screen.
-
B.
Kinect sensor
The Kinect sensor is a motion-sensing and voice-recognition device that enables controller-free interaction with games and applications through body tracking, depth sensing, and audio input.
-
C.
Moto 360
Moto 360 is a line of Android Wear-based smartwatches known for their round displays and minimalist design.
-
D.
Fitbit Sense
Fitbit Sense is a health-focused smartwatch by Fitbit that offers advanced fitness tracking, heart and stress monitoring, and smart features like notifications and apps.
-
E.
Mi Band fitness trackers
Mi Band fitness trackers are Xiaomi’s popular line of affordable wearable devices that monitor physical activity, sleep, and health metrics.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b194748190801e3956bf2429d4 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7fa449c8190aed8941168b063c3 |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:06 a.m.