Triple
T272210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canada CIFAR AI Chair |
E5657
|
entity |
| Predicate | administeredBy |
P86
|
FINISHED |
| Object |
CIFAR
CIFAR (the Canadian Institute for Advanced Research) is a Canadian global research organization that supports long-term, collaborative, interdisciplinary research, including major initiatives in artificial intelligence.
|
E35343
|
NE FINISHED |
How this triple was built (4 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: CIFAR | Statement: [Canada CIFAR AI Chair, administeredBy, CIFAR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CIFAR Context triple: [Canada CIFAR AI Chair, administeredBy, CIFAR]
-
A.
LeNet
LeNet is one of the earliest convolutional neural network architectures, pioneering modern deep learning approaches to image recognition and handwritten digit classification.
-
B.
CAF
CAF is the Confederation of African Football, the governing body for association football in Africa and one of FIFA’s six continental confederations.
-
C.
RBM
RBM is a global partnership initiative dedicated to coordinating and scaling up efforts to prevent, control, and ultimately eliminate malaria worldwide.
-
D.
DALL·E
DALL·E is an AI model developed by OpenAI that generates images from natural language descriptions, enabling text-to-image synthesis.
-
E.
CIT
CIT is the commonly used acronym for the Center for Information Technology, an organization focused on advancing computing and information systems.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CIFAR Triple: [Canada CIFAR AI Chair, administeredBy, CIFAR]
Generated description
CIFAR (the Canadian Institute for Advanced Research) is a Canadian global research organization that supports long-term, collaborative, interdisciplinary research, including major initiatives in artificial intelligence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CIFAR Target entity description: CIFAR (the Canadian Institute for Advanced Research) is a Canadian global research organization that supports long-term, collaborative, interdisciplinary research, including major initiatives in artificial intelligence.
-
A.
LeNet
LeNet is one of the earliest convolutional neural network architectures, pioneering modern deep learning approaches to image recognition and handwritten digit classification.
-
B.
CAF
CAF is the Confederation of African Football, the governing body for association football in Africa and one of FIFA’s six continental confederations.
-
C.
RBM
RBM is a global partnership initiative dedicated to coordinating and scaling up efforts to prevent, control, and ultimately eliminate malaria worldwide.
-
D.
DALL·E
DALL·E is an AI model developed by OpenAI that generates images from natural language descriptions, enabling text-to-image synthesis.
-
E.
CIT
CIT is the commonly used acronym for the Center for Information Technology, an organization focused on advancing computing and information systems.
- F. None of above. chosen
Provenance (5 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_69a25853594c8190b05ec3a586ec88bf |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25dcf667c8190a7b8630fe67b9a90 |
completed | Feb. 28, 2026, 3:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a38f537f1c8190a59ac4669498a3fc |
completed | March 1, 2026, 12:58 a.m. |
| NEDg | Description generation | batch_69a38fbfac808190b2b551dcbfe6faff |
completed | March 1, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3903779e88190a00c44a522e82022 |
completed | March 1, 2026, 1:02 a.m. |
Created at: Feb. 28, 2026, 2:57 a.m.