Triple
T14420841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Logitech |
E357578
|
entity |
| Predicate | brandName |
P1500
|
FINISHED |
| Object | ASTRO Gaming |
E932268
|
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: ASTRO Gaming | Statement: [Logitech, brandName, ASTRO Gaming]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ASTRO Gaming Context triple: [Logitech, brandName, ASTRO Gaming]
-
A.
ASTRO Gaming
chosen
ASTRO Gaming is a gaming hardware company best known for its high-quality headsets and audio equipment designed for professional esports and console gamers.
-
B.
Corsair Gaming
Corsair Gaming is an American company known for designing and manufacturing high-performance gaming peripherals, PC components, and enthusiast hardware.
-
C.
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.
-
D.
ROG
ROG is the station code for Rogers Avenue station, a stop on the New York City Subway system.
-
E.
Alienware
Alienware is a Dell-owned brand known for its high-performance, gaming-focused PCs and laptops featuring distinctive, futuristic designs.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de910eb354819089d5d5a46919eb49 |
completed | April 14, 2026, 7:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bcb131c8190935d9bacb1afc995 |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:18 a.m.