Triple
T591866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LeNet |
E17289
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | image recognition model |
C4178
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: image recognition model Context triple: [LeNet, instanceOf, image recognition model]
-
A.
art model
An art model is a person who poses for artists, photographers, or art classes to provide a live reference for studying and depicting the human form, expression, or composition.
-
B.
automobile model
An automobile model is a specific version of a vehicle produced by a manufacturer, defined by a distinct combination of design, features, and specifications that differentiates it from other vehicles in the product lineup.
-
C.
iconographic program
An iconographic program is a deliberately organized set of visual images and symbols, often in a specific spatial arrangement, designed to convey a coherent narrative, theological message, or ideological theme.
-
D.
scientific model collection
A scientific model collection is an organized set of related theoretical, computational, or empirical models curated to represent, compare, and analyze phenomena within a specific scientific domain.
-
E.
machine learning researcher
A machine learning researcher is a specialist who develops, analyzes, and improves algorithms and models that enable computers to learn from data and make predictions or decisions.
- F. None of above. chosen
Provenance (1 batch)
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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
Created at: March 1, 2026, 7:33 p.m.