Triple
T5910849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alex Krizhevsky |
E131452
|
entity |
| Predicate | networkNameOrigin |
P3325
|
FINISHED |
| Object | AlexNet named after Alex Krizhevsky |
E74105
|
NE FINISHED |
How this triple was built (3 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: AlexNet named after Alex Krizhevsky | Statement: [Alex Krizhevsky, networkNameOrigin, AlexNet named after Alex Krizhevsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AlexNet named after Alex Krizhevsky Context triple: [Alex Krizhevsky, networkNameOrigin, AlexNet named after Alex Krizhevsky]
-
A.
AlexNet
chosen
AlexNet is a pioneering deep convolutional neural network architecture that dramatically advanced image recognition performance and helped spark the modern deep learning revolution after winning the 2012 ImageNet competition.
-
B.
LeNet
LeNet is one of the earliest convolutional neural network architectures, pioneering modern deep learning approaches to image recognition and handwritten digit classification.
-
C.
Inception architecture
The Inception architecture is a deep convolutional neural network design that introduced parallel multi-scale processing modules to achieve state-of-the-art image recognition performance with improved computational efficiency.
-
D.
ResNet
ResNet is a deep convolutional neural network architecture known for its use of residual connections to enable very deep models and achieve state-of-the-art performance in image recognition tasks.
-
E.
GoogLeNet
GoogLeNet is a deep convolutional neural network developed by Google that popularized the Inception architecture and achieved state-of-the-art performance in image recognition tasks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: networkNameOrigin Context triple: [Alex Krizhevsky, networkNameOrigin, AlexNet named after Alex Krizhevsky]
-
A.
originalNetworkName
Indicates the name of the network from which something (e.g., data, content, or a connection) originally came.
-
B.
originalNetwork
Indicates that one entity is the original or source network from which another network or derived entity is based or obtained.
-
C.
networkMapName
Indicates the designated name or label assigned to a particular network map within a system or context.
-
D.
hasNameOrigin
chosen
Indicates that the origin or source of an entity’s name is specified by the related entity.
-
E.
networkOwner
Indicates that one entity holds ownership or primary control over a particular network.
- F. None of above.
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_69c008593a44819081a07ae0efe6c574 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c048fc112c8190b905bf561c9de096 |
completed | March 22, 2026, 7:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b17375488190a3053d37712501b3 |
completed | March 23, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69c03352208c8190968efed05a9fd416 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:59 p.m.