Triple
T232807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IEEE Computer Society Conference on Computer Vision and Pattern Recognition |
E4443
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object |
IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence
The IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence is a leading professional body that advances research and standards in computer vision, pattern recognition, and machine learning within the IEEE community.
|
E29787
|
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: IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence | Statement: [IEEE Computer Society Conference on Computer Vision and Pattern Recognition, sponsor, IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence Context triple: [IEEE Computer Society Conference on Computer Vision and Pattern Recognition, sponsor, IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence]
-
A.
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence is a leading peer-reviewed journal that publishes cutting-edge research in computer vision, pattern recognition, and machine learning.
-
B.
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
The IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) is a premier annual international research conference showcasing cutting-edge advances in computer vision, machine learning, and pattern recognition.
-
C.
Proceedings of the IEEE
Proceedings of the IEEE is a leading peer-reviewed journal that publishes comprehensive review, survey, and tutorial articles covering advances across the full spectrum of electrical engineering and computer science.
-
D.
IEEE Computer Society
The IEEE Computer Society is a leading professional organization dedicated to advancing computer science and engineering through publications, conferences, standards, and educational activities.
-
E.
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing is a leading peer-reviewed scientific journal covering theory, algorithms, and applications in the field of image and video processing.
- 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: IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence Triple: [IEEE Computer Society Conference on Computer Vision and Pattern Recognition, sponsor, IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence]
Generated description
The IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence is a leading professional body that advances research and standards in computer vision, pattern recognition, and machine learning within the IEEE community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence Target entity description: The IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence is a leading professional body that advances research and standards in computer vision, pattern recognition, and machine learning within the IEEE community.
-
A.
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence is a leading peer-reviewed journal that publishes cutting-edge research in computer vision, pattern recognition, and machine learning.
-
B.
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
The IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) is a premier annual international research conference showcasing cutting-edge advances in computer vision, machine learning, and pattern recognition.
-
C.
Proceedings of the IEEE
Proceedings of the IEEE is a leading peer-reviewed journal that publishes comprehensive review, survey, and tutorial articles covering advances across the full spectrum of electrical engineering and computer science.
-
D.
IEEE Computer Society
The IEEE Computer Society is a leading professional organization dedicated to advancing computer science and engineering through publications, conferences, standards, and educational activities.
-
E.
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing is a leading peer-reviewed scientific journal covering theory, algorithms, and applications in the field of image and video processing.
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25caf59948190bacac41a6ed84cb6 |
completed | Feb. 28, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a362bd591c8190940e6b1cd81017ae |
completed | Feb. 28, 2026, 9:48 p.m. |
| NEDg | Description generation | batch_69a3632a55ac8190b099ae109b0c578c |
completed | Feb. 28, 2026, 9:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3639235808190aee80e49482486c2 |
completed | Feb. 28, 2026, 9:52 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.