Triple
T7980134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PixelSense |
E185549
|
entity |
| Predicate | marketedAs |
P1395
|
FINISHED |
| Object | PixelSense Display |
E185549
|
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: PixelSense Display | Statement: [PixelSense, marketedAs, PixelSense Display]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PixelSense Display Context triple: [PixelSense, marketedAs, PixelSense Display]
-
A.
PixelSense
chosen
PixelSense is Microsoft’s high-resolution, touch- and pen-enabled display technology used in Surface devices for precise, responsive input and vivid visuals.
-
B.
Pixel Qi
Pixel Qi was a display technology company known for developing low-power, sunlight-readable LCD screens that combined the benefits of e-ink and traditional color displays.
-
C.
EyeQ system-on-chip
EyeQ system-on-chip is Mobileye’s specialized automotive processor platform designed to power advanced driver-assistance systems and autonomous driving functions.
-
D.
Retina display
Retina display is Apple’s high-resolution screen technology designed to make pixels virtually indistinguishable to the human eye for sharper, more detailed visuals.
-
E.
Lattice mVision
Lattice mVision is an edge AI and embedded vision platform from Lattice Semiconductor designed to accelerate development of low-power, FPGA-based computer vision applications.
- 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c261904819086910898071f3629 |
completed | March 31, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0d3c724819087df03cea2ed998f |
completed | March 31, 2026, 2:57 p.m. |
Created at: March 30, 2026, 5:14 p.m.