Triple
T1271807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pixel 6 |
E15725
|
entity |
| Predicate | hasFeature |
P182
|
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: [Pixel 6, hasFeature, Magic Eraser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magic Eraser Context triple: [Pixel 6, hasFeature, 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.
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.
-
C.
Wand
Wand is an American rock band known for its eclectic blend of psychedelic, garage, and experimental sounds, often released through the independent label Drag City.
-
D.
Magik Markers
Magik Markers is an American noise rock band known for its abrasive, improvisational sound and association with the underground indie and experimental music scenes.
-
E.
Elmer's
Elmer's is a well-known American brand best recognized for its school and craft glues and other adhesive products.
- 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c06ae7b88190a1e0b5232d84a7b1 |
completed | March 1, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac998b819c8190ad5a4095d31b5cb1 |
completed | March 7, 2026, 9:32 p.m. |
Created at: March 1, 2026, 7:50 p.m.