Triple
T2500441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dell |
E52450
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Alienware |
E52450
|
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: Alienware | Statement: [Dell, brand, Alienware]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alienware Context triple: [Dell, brand, Alienware]
-
A.
HP Omen
HP Omen is HP's gaming-focused brand of high-performance laptops, desktops, and accessories designed for PC gamers.
-
B.
ASUS
ASUS is a Taiwanese multinational technology company best known for producing computers, laptops, motherboards, and other consumer electronics and hardware devices.
-
C.
Acer
Acer is a Taiwanese multinational hardware and electronics corporation best known for manufacturing laptops, desktops, monitors, and other computer-related products.
-
D.
Dynabook
Dynabook is a line of portable personal computers originally developed by Toshiba, known for its lightweight laptop designs and business-focused notebooks.
-
E.
Dell
chosen
Dell is a major American technology company best known for designing, manufacturing, and selling personal computers, servers, and related IT products and services worldwide.
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1b144a481909b1f8d96742a92e7 |
completed | March 7, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1fa0e26481908e383a6d44b3f3d5 |
completed | March 9, 2026, 7:29 p.m. |
Created at: March 6, 2026, 9:46 p.m.