Triple
T232781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IEEE Computer Society Conference on Computer Vision and Pattern Recognition |
E4443
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | CVPR |
E4443
|
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: CVPR | Statement: [IEEE Computer Society Conference on Computer Vision and Pattern Recognition, shortName, CVPR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CVPR Context triple: [IEEE Computer Society Conference on Computer Vision and Pattern Recognition, shortName, CVPR]
-
A.
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
chosen
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.
-
B.
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.
-
C.
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology is a peer-reviewed scientific journal focusing on research and advances in video technology, including circuits, systems, processing, and applications.
-
D.
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.
-
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.
- 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_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. |
Created at: Feb. 28, 2026, 2:53 a.m.