Triple
T34217645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Anderson |
E877837
|
entity |
| Predicate | inventionName |
P178539
|
FINISHED |
| Object | windshield wiper |
—
|
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: windshield wiper | Statement: [Mary Anderson, inventionName, windshield wiper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inventionName Context triple: [Mary Anderson, inventionName, windshield wiper]
-
A.
invention
Indicates that one entity is the creator or originator of another entity, typically a device, method, or idea.
-
B.
inventionType
Indicates the specific category or kind of invention that characterizes the relationship between an invention and its type.
-
C.
usedInventionOf
Indicates that one entity made use of, applied, or implemented the invention created by another entity.
-
D.
inventionUsedIn
Indicates that a particular invention is utilized or applied within a specific context, process, product, or activity.
-
E.
inventionCommercializedBy
Indicates that an invention has been brought to market or otherwise commercially exploited by a particular 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_69f349b0b4bc819088c1552424089ee9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f710aaff588190adc6cc5b7d5424cc |
completed | May 3, 2026, 9:08 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f70fddd43c819088dee5a448c72cbe |
completed | May 3, 2026, 9:05 a.m. |
Created at: May 1, 2026, 1:55 a.m.