Triple
T10698163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dyson Ltd |
E252199
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object | James Dyson |
E49395
|
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: James Dyson | Statement: [Dyson Ltd, founder, James Dyson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Dyson Context triple: [Dyson Ltd, founder, James Dyson]
-
A.
Sir James Dyson
chosen
Sir James Dyson is a British inventor and industrial designer best known for creating the Dyson bagless vacuum cleaner and founding the Dyson technology company.
-
B.
Dean Kamen
Dean Kamen is an American inventor and entrepreneur best known for creating the Segway and numerous medical technologies, and for founding the FIRST robotics competition to inspire young people in science and engineering.
-
C.
Tony Fadell
Tony Fadell is an American engineer, designer, and entrepreneur best known as a key creator of the iPod and iPhone and a pioneer in modern smart home technology.
-
D.
Christopher Cockerell
Christopher Cockerell was a British engineer and inventor best known for creating the hovercraft.
-
E.
James Dyson Foundation
The James Dyson Foundation is a charitable organization that supports design and engineering education and innovation, particularly among young people.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd8a03848190bf68dd470bee103a |
completed | April 9, 2026, 1:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb703b1ec8190b11fbb381c929a90 |
completed | April 12, 2026, 3:15 p.m. |
Created at: April 8, 2026, 9:12 p.m.