Triple
T839719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pixel 8 Pro |
E18148
|
entity |
| Predicate | aiFeature |
P17640
|
FINISHED |
| Object | Audio Magic Eraser |
E96913
|
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: Audio Magic Eraser | Statement: [Pixel 8 Pro, aiFeature, Audio Magic Eraser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Audio Magic Eraser Context triple: [Pixel 8 Pro, aiFeature, Audio Magic Eraser]
-
A.
Audio Magic Eraser
chosen
Audio Magic Eraser is a Google Pixel feature that uses AI to intelligently remove or reduce unwanted background sounds from recorded audio.
-
B.
Magic Eraser
Magic Eraser is a Google Photos tool that uses AI to remove or camouflage unwanted objects and distractions from images.
-
C.
Adobe Audition
Adobe Audition is a professional digital audio workstation software used for recording, editing, mixing, and restoring audio for music, film, and broadcast production.
-
D.
Audion
Audion is an early triode vacuum tube invented by Lee de Forest that enabled the amplification of electrical signals and was crucial to the development of radio and electronics.
-
E.
Eraser
Eraser is a 1996 action thriller film starring Arnold Schwarzenegger as a U.S. Marshal who protects a key witness while uncovering a high-tech weapons conspiracy.
- 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_69a49389f44881909a608fb27d89f247 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2b66c908190a52f731119b77a1e |
completed | March 1, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7929860f081909c86f84d7cfe6acb |
completed | March 4, 2026, 2:02 a.m. |
Created at: March 1, 2026, 7:38 p.m.