Triple
T11003600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matching Networks for One Shot Learning |
E260058
|
entity |
| Predicate | firstAuthor |
P12787
|
FINISHED |
| Object | Oriol Vinyals |
E46146
|
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: Oriol Vinyals | Statement: [Matching Networks for One Shot Learning, firstAuthor, Oriol Vinyals]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oriol Vinyals Context triple: [Matching Networks for One Shot Learning, firstAuthor, Oriol Vinyals]
-
A.
Oriol Vinyals
chosen
Oriol Vinyals is a prominent computer scientist and machine learning researcher known for his influential work on deep learning, sequence-to-sequence models, and reinforcement learning at leading AI labs.
-
B.
Julian Schrittwieser
Julian Schrittwieser is a computer scientist and AI researcher known for his work at DeepMind on advanced reinforcement learning and game-playing systems such as AlphaZero.
-
C.
Nicolas Heess
Nicolas Heess is a machine learning researcher known for his work in deep reinforcement learning, including contributions to algorithms such as Deep Deterministic Policy Gradient (DDPG).
-
D.
Shane Legg
Shane Legg is a computer scientist and AI researcher best known as a co-founder of DeepMind and for his influential work on artificial general intelligence.
-
E.
Sergey Levine
Sergey Levine is a prominent computer scientist and professor known for his influential research in deep reinforcement learning and robotics.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797546f448190946ee6442d657dc5 |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d548b4481909dc73f834c704d44 |
completed | April 19, 2026, 1:18 a.m. |
Created at: April 8, 2026, 9:25 p.m.