Triple
T13625147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Barto |
E325558
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object | Richard S. Sutton |
E753566
|
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: Richard S. Sutton | Statement: [Andrew Barto, notableStudent, Richard S. Sutton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard S. Sutton Context triple: [Andrew Barto, notableStudent, Richard S. Sutton]
-
A.
Richard S. Sutton
chosen
Richard S. Sutton is a pioneering computer scientist best known for his foundational contributions to reinforcement learning, including co-authoring the influential textbook "Reinforcement Learning: An Introduction."
-
B.
Richard Sutton
Richard Sutton was a prominent early 16th-century English lawyer and benefactor best known for co-founding Brasenose College at the University of Oxford.
-
C.
Stuart Russell
Stuart Russell is a leading artificial intelligence researcher and co-author of the seminal textbook "Artificial Intelligence: A Modern Approach," known for his influential work on AI theory, ethics, and safety.
-
D.
Michael L. Littman
Michael L. Littman is an American computer scientist and professor known for his influential research in reinforcement learning, machine learning, and artificial intelligence.
-
E.
David Silver
David Silver is a leading artificial intelligence researcher best known for his work at DeepMind on reinforcement learning and the development of the AlphaGo system.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbe9c72c88190be3d7a3f2e96afbc |
completed | April 12, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78aeb591481909d39675a543a8b51 |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:50 p.m.