Triple
T8700285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ASUS |
E206511
|
entity |
| Predicate | brandName |
P1500
|
FINISHED |
| Object | ROG |
E206511
|
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: ROG | Statement: [ASUS, brandName, ROG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ROG Context triple: [ASUS, brandName, ROG]
-
A.
HP Omen
HP Omen is HP's gaming-focused brand of high-performance laptops, desktops, and accessories designed for PC gamers.
-
B.
Opera GX
Opera GX is a specialized web browser designed for gamers, featuring performance controls, gaming-inspired aesthetics, and integrations with platforms like Twitch and Discord.
-
C.
ASUS
chosen
ASUS is a Taiwanese multinational technology company best known for producing computers, laptops, motherboards, and other consumer electronics and hardware devices.
-
D.
NVIDIA Studio
NVIDIA Studio is a platform and suite of tools, drivers, and optimizations designed to enhance performance and reliability for creative and content creation workflows on NVIDIA GPUs.
-
E.
Blazer5 Gaming
Blazer5 Gaming is the official NBA 2K League esports team affiliated with the Portland Trail Blazers.
- 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_69ca83555b6c8190abe930dd397e863b |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58b27bd48190a5f76111ee657553 |
completed | March 31, 2026, 11:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef40e7a2881909e2d7eee0d931992 |
completed | April 2, 2026, 10:56 p.m. |
Created at: March 30, 2026, 6:34 p.m.