Triple
T12527204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | QuakeCon |
E299469
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object | Logitech |
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 | Statement: [QuakeCon, sponsor, Logitech]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Logitech Context triple: [QuakeCon, sponsor, Logitech]
-
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.
Plantronics
Plantronics is an American electronics company best known for designing and manufacturing audio communications equipment such as headsets and conference solutions for business and consumer markets.
-
C.
Acer
Acer is a genus of deciduous trees and shrubs best known for its maples, many of which are valued for their distinctive leaves, vibrant autumn colors, and sap used to produce maple syrup.
-
D.
Acer
Acer is a Taiwanese multinational hardware and electronics corporation best known for manufacturing laptops, desktops, monitors, and other computer-related products.
-
E.
Lenovo
Lenovo is a multinational technology company best known for manufacturing and selling personal computers, laptops, smartphones, and other consumer electronics 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_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.