Triple
T14917642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolfram Schultz |
E371422
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
“A neural substrate of prediction and reward”
“A neural substrate of prediction and reward” is a highly influential neuroscience paper that elucidates how dopaminergic brain systems encode reward prediction signals fundamental to learning and decision-making.
|
E1126792
|
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: “A neural substrate of prediction and reward” | Statement: [Wolfram Schultz, notableWork, “A neural substrate of prediction and reward”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “A neural substrate of prediction and reward” Context triple: [Wolfram Schultz, notableWork, “A neural substrate of prediction and reward”]
-
A.
The Computational Brain
The Computational Brain is an influential book that explores how principles of computation and neural networks can explain brain function and cognition.
-
B.
The Organization of Behavior: A Neuropsychological Theory
The Organization of Behavior: A Neuropsychological Theory is a landmark 1949 book by psychologist Donald Hebb that introduced the influential concept of Hebbian learning to explain how neural networks underlie learning and behavior.
-
C.
Center for Adaptive Rationality
The Center for Adaptive Rationality is a research unit that investigates how humans make decisions and reason under uncertainty, often using insights from psychology, economics, and cognitive science.
-
D.
Reading in the Brain
"Reading in the Brain" is a scientific book by cognitive neuroscientist Stanislas Dehaene that explains how the human brain learns to read and what this reveals about language, vision, and learning.
-
E.
Touching a Nerve: The Self as Brain
Touching a Nerve: The Self as Brain is a popular neuroscience and philosophy book by Patricia Churchland that argues our sense of self and mind is fundamentally rooted in the physical workings of the brain.
- 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: “A neural substrate of prediction and reward” Triple: [Wolfram Schultz, notableWork, “A neural substrate of prediction and reward”]
Generated description
“A neural substrate of prediction and reward” is a highly influential neuroscience paper that elucidates how dopaminergic brain systems encode reward prediction signals fundamental to learning and decision-making.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: “A neural substrate of prediction and reward” Target entity description: “A neural substrate of prediction and reward” is a highly influential neuroscience paper that elucidates how dopaminergic brain systems encode reward prediction signals fundamental to learning and decision-making.
-
A.
The Computational Brain
The Computational Brain is an influential book that explores how principles of computation and neural networks can explain brain function and cognition.
-
B.
The Organization of Behavior: A Neuropsychological Theory
The Organization of Behavior: A Neuropsychological Theory is a landmark 1949 book by psychologist Donald Hebb that introduced the influential concept of Hebbian learning to explain how neural networks underlie learning and behavior.
-
C.
Center for Adaptive Rationality
The Center for Adaptive Rationality is a research unit that investigates how humans make decisions and reason under uncertainty, often using insights from psychology, economics, and cognitive science.
-
D.
Reading in the Brain
"Reading in the Brain" is a scientific book by cognitive neuroscientist Stanislas Dehaene that explains how the human brain learns to read and what this reveals about language, vision, and learning.
-
E.
Touching a Nerve: The Self as Brain
Touching a Nerve: The Self as Brain is a popular neuroscience and philosophy book by Patricia Churchland that argues our sense of self and mind is fundamentally rooted in the physical workings of the brain.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded62038508190946499cd3552990e |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72bf2120819099df39bdc1da691b |
completed | May 8, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69fe7360c11481908e2e5127b466e31b |
completed | May 8, 2026, 11:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe743c37308190a045ef5f0ade8508 |
completed | May 8, 2026, 11:39 p.m. |
Created at: April 10, 2026, 2:32 a.m.