Triple
T12527203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | QuakeCon |
E299469
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object | Alienware |
E812210
|
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: [QuakeCon, sponsor, Alienware]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alienware Context triple: [QuakeCon, sponsor, Alienware]
-
A.
Alienware
chosen
Alienware is a Dell-owned brand known for its high-performance, gaming-focused PCs and laptops featuring distinctive, futuristic designs.
-
B.
Lenovo Legion
Lenovo Legion is Lenovo’s gaming-focused brand of high-performance laptops, desktops, and accessories designed for PC gamers.
-
C.
ROG
ROG is the station code for Rogers Avenue station, a stop on the New York City Subway system.
-
D.
HP Omen
HP Omen is HP's gaming-focused brand of high-performance laptops, desktops, and accessories designed for PC gamers.
-
E.
TUF Gaming
TUF Gaming is ASUS’s durability-focused gaming hardware line known for rugged design, military-grade components, and reliable performance for PC gamers.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9545e90948190980bd4d64964a0f2 |
completed | April 10, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bc393808190add527030a928517 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.