Triple
T7387589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acer |
E170419
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Chromebook |
E2484
|
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: Chromebook | Statement: [Acer, brand, Chromebook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chromebook Context triple: [Acer, brand, Chromebook]
-
A.
Chromebook
chosen
Chromebook is a line of lightweight laptops that run Google's ChromeOS, designed primarily for web-based computing and cloud-centric use.
-
B.
Chrome OS devices
Chrome OS devices are computers and tablets running Google's lightweight, cloud-centric Chrome operating system, designed for fast boot times, automatic updates, and tight integration with Google services.
-
C.
ChromeOS tablet
A ChromeOS tablet is a touchscreen device that runs Google’s ChromeOS operating system, combining tablet portability with access to web-based apps and Android apps.
-
D.
Chromebase
Chromebase is an all-in-one desktop computer line from Google and its hardware partners that runs Chrome OS and is designed for web-centric and cloud-based computing.
-
E.
ChromeOS
ChromeOS is Google's lightweight, cloud-centric operating system designed primarily for Chromebooks and focused on running web applications and Android apps securely and efficiently.
- 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_69c68a5e2c9081909e713ce866e0060a |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1f2bac481908ac74069182a4ce4 |
completed | March 27, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802e56fb48190976612d2a94d6ee5 |
completed | March 28, 2026, 4:33 p.m. |
Created at: March 27, 2026, 3:08 p.m.