Triple
T18204425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T5 |
E435867
|
entity |
| Predicate | citationVenue |
P53492
|
FINISHED |
| Object | Journal of Machine Learning Research |
—
|
NE NERFINISHED |
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: Journal of Machine Learning Research | Statement: [T5, citationVenue, Journal of Machine Learning Research]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Journal of Machine Learning Research Context triple: [T5, citationVenue, Journal of Machine Learning Research]
-
A.
JMLR
chosen
JMLR (Journal of Machine Learning Research) is a leading peer-reviewed academic journal focusing on cutting-edge research in machine learning and related fields.
-
B.
ICML
ICML (International Conference on Machine Learning) is one of the premier global academic conferences focused on research in machine learning and related fields.
-
C.
NeurIPS
NeurIPS is a premier international conference focused on advances in machine learning, artificial intelligence, and computational neuroscience.
-
D.
IEEE Transactions on Neural Networks and Learning Systems
IEEE Transactions on Neural Networks and Learning Systems is a leading peer-reviewed scientific journal focusing on the theory, design, and applications of neural networks and machine learning.
-
E.
The Nature of Statistical Learning Theory
The Nature of Statistical Learning Theory is a foundational book by Vladimir Vapnik that introduces the theoretical framework underlying modern statistical learning and support vector machines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e222831081908f7d5500424e3acb |
completed | April 19, 2026, 2:09 p.m. |
Created at: April 10, 2026, 10:32 a.m.