Triple
T14420838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Logitech |
E357578
|
entity |
| Predicate | brandName |
P1500
|
FINISHED |
| Object | Logitech G |
E357578
|
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: Logitech G | Statement: [Logitech, brandName, Logitech G]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Logitech G Context triple: [Logitech, brandName, Logitech G]
-
A.
Logitech
chosen
Logitech is a Swiss-based technology company best known for designing and manufacturing computer peripherals and accessories such as mice, keyboards, webcams, and gaming gear.
-
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.
Elgato
Elgato is a technology brand best known for its streaming and content-creation hardware and software, including capture cards, lighting, and control devices used by gamers and online creators.
- 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.