Triple
T15158780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Pixel 6 Pro |
E362150
|
entity |
| Predicate | aiFeatures |
P116964
|
FINISHED |
| Object | Magic Eraser |
E80215
|
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: Magic Eraser | Statement: [Google Pixel 6 Pro, aiFeatures, Magic Eraser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magic Eraser Context triple: [Google Pixel 6 Pro, aiFeatures, Magic Eraser]
-
A.
Magic Eraser
chosen
Magic Eraser is a Google Photos tool that uses AI to remove or camouflage unwanted objects and distractions from images.
-
B.
Magic Paintbrush
The Magic Paintbrush is a powerful tool in the Mario series that can create and manipulate goop, illusions, and landscapes, often used to cause chaos and alter environments.
-
C.
The Eraser
The Eraser is Thom Yorke’s debut solo album, known for its minimalist electronic sound and introspective, politically tinged lyrics.
-
D.
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.
-
E.
Magic Wand
Magic Wand is an Israeli-developed mobile air defense system designed to intercept short- to medium-range rockets, missiles, and other aerial threats.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0060dd71881908ecc4a4f52d438a5 |
completed | April 15, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febffaa4b88190aab36fdae057e6d2 |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3:08 a.m.