Triple
T8700302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ASUS |
E206511
|
entity |
| Predicate | notableSeries |
P3199
|
FINISHED |
| Object |
ZenBook
ZenBook is ASUS's premium line of ultra-thin, high-performance laptops known for their sleek design and portability.
|
E750960
|
NE FINISHED |
How this triple was built (4 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: ZenBook | Statement: [ASUS, notableSeries, ZenBook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZenBook Context triple: [ASUS, notableSeries, ZenBook]
-
A.
MateBook series
The MateBook series is Huawei’s line of Windows-based laptop computers known for slim designs, high-resolution displays, and integration with the company’s mobile ecosystem.
-
B.
Dynabook
Dynabook is a line of portable personal computers originally developed by Toshiba, known for its lightweight laptop designs and business-focused notebooks.
-
C.
Surface Book
Surface Book is a high-end 2-in-1 laptop from Microsoft featuring a detachable touchscreen display that can function as a tablet.
-
D.
Toughbook
Toughbook is Panasonic’s rugged line of laptop and tablet computers designed to withstand harsh environments and demanding field use.
-
E.
Surface Laptop
Surface Laptop is a premium line of thin, lightweight Windows ultrabooks designed and produced by Microsoft under its Surface brand.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ZenBook Triple: [ASUS, notableSeries, ZenBook]
Generated description
ZenBook is ASUS's premium line of ultra-thin, high-performance laptops known for their sleek design and portability.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ZenBook Target entity description: ZenBook is ASUS's premium line of ultra-thin, high-performance laptops known for their sleek design and portability.
-
A.
MateBook series
The MateBook series is Huawei’s line of Windows-based laptop computers known for slim designs, high-resolution displays, and integration with the company’s mobile ecosystem.
-
B.
Dynabook
Dynabook is a line of portable personal computers originally developed by Toshiba, known for its lightweight laptop designs and business-focused notebooks.
-
C.
Surface Book
Surface Book is a high-end 2-in-1 laptop from Microsoft featuring a detachable touchscreen display that can function as a tablet.
-
D.
Toughbook
Toughbook is Panasonic’s rugged line of laptop and tablet computers designed to withstand harsh environments and demanding field use.
-
E.
Surface Laptop
Surface Laptop is a premium line of thin, lightweight Windows ultrabooks designed and produced by Microsoft under its Surface brand.
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69cef66624348190b1f922b8148553a2 |
completed | April 2, 2026, 11:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cef6d9ea7c81909dfefb8540636092 |
completed | April 2, 2026, 11:08 p.m. |
Created at: March 30, 2026, 6:34 p.m.