Triple
T5910851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alex Krizhevsky |
E131452
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | University of Toronto Machine Learning Group |
E83526
|
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: University of Toronto Machine Learning Group | Statement: [Alex Krizhevsky, associatedWith, University of Toronto Machine Learning Group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: University of Toronto Machine Learning Group Context triple: [Alex Krizhevsky, associatedWith, University of Toronto Machine Learning Group]
-
A.
Alberta Machine Intelligence Institute
The Alberta Machine Intelligence Institute (Amii) is a leading Canadian research institute and innovation hub focused on advancing artificial intelligence and machine learning through academic research, industry collaboration, and talent development.
-
B.
Vector Institute for Artificial Intelligence
The Vector Institute for Artificial Intelligence is a Toronto-based research institute focused on advancing cutting-edge AI and machine learning, known for its association with leading researchers such as Geoffrey Hinton.
-
C.
University of Toronto Department of Computer Science
chosen
The University of Toronto Department of Computer Science is a leading global center for research and education in computer science, known for its pioneering contributions to areas such as machine learning, artificial intelligence, and theoretical computer science.
-
D.
Machine Learning Department, Carnegie Mellon University
The Machine Learning Department at Carnegie Mellon University is a pioneering academic unit dedicated to research and education in machine learning, artificial intelligence, and related computational disciplines.
-
E.
Canada CIFAR AI Chair
The Canada CIFAR AI Chair is a prestigious research position within Canada’s national AI strategy, supporting leading artificial intelligence scientists to advance foundational and applied AI research.
- 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_69c008593a44819081a07ae0efe6c574 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c037767af08190b5678cff9fd0816f |
completed | March 22, 2026, 6:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b17375488190a3053d37712501b3 |
completed | March 23, 2026, 3:20 a.m. |
Created at: March 22, 2026, 3:59 p.m.