Triple
T34349164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dyson Airwrap styler |
E881517
|
entity |
| Predicate | airflowGeneration |
P178900
|
FINISHED |
| Object | Dyson digital motor V9 in many models |
—
|
LITERAL 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: Dyson digital motor V9 in many models | Statement: [Dyson Airwrap styler, airflowGeneration, Dyson digital motor V9 in many models]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airflowGeneration Context triple: [Dyson Airwrap styler, airflowGeneration, Dyson digital motor V9 in many models]
-
A.
generators
Indicates that one entity produces, creates, or brings about another entity or outcome, typically as its source or origin.
-
B.
airframer
Indicates a relationship where a company designs, manufactures, or assembles aircraft as its primary aerospace activity.
-
C.
ballGeneration
Indicates the creation or production of a ball, specifying that an entity causes a ball to come into existence or appear.
-
D.
architecturalGeneration
Indicates a relationship where one entity is responsible for creating, designing, or originating the architecture of another entity.
-
E.
catalystGeneration
Indicates that one entity initiates, produces, or brings about a catalyst that enables or accelerates a process or reaction involving another entity.
- F. None of above. chosen
Provenance (4 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_69f349bd06008190904c2f86c42749e3 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f717836f0c8190b4a397bbac37dd09 |
completed | May 3, 2026, 9:38 a.m. |
| PD | Predicate disambiguation | batch_69f7127a2ff08190b77d00963c9df621 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f71782422c81908196d5e4a610cb1a |
completed | May 3, 2026, 9:38 a.m. |
Created at: May 1, 2026, 1:58 a.m.