Triple
T576623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Pixel |
E13770
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Pixel Fold |
E72120
|
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: Pixel Fold | Statement: [Google Pixel, hasVariant, Pixel Fold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pixel Fold Context triple: [Google Pixel, hasVariant, Pixel Fold]
-
A.
Pixel Fold
chosen
Pixel Fold is Google's first foldable smartphone, combining a flexible inner display with a traditional outer screen and Pixel-specific software features.
-
B.
Surface Duo
Surface Duo is a dual-screen Android smartphone-tablet hybrid developed by Microsoft as part of its Surface hardware lineup.
-
C.
Surface Studio
Surface Studio is an all-in-one desktop computer by Microsoft known for its large, high-resolution touchscreen and flexible hinge designed for creative professionals.
-
D.
Pixel 6
The Pixel 6 is a Google-designed Android smartphone known for its custom Tensor chip, advanced computational photography, and clean, AI-focused software experience.
-
E.
Pixel 7
Pixel 7 is a Google-designed Android smartphone known for its clean software experience, advanced AI-powered camera features, and tight integration with Google services.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b68cc808190b1ba45bdad78443d |
completed | March 1, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a501bfb6408190bf7e1f462f39723d |
completed | March 2, 2026, 3:19 a.m. |
Created at: March 1, 2026, 7:33 p.m.