Triple
T14917644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolfram Schultz |
E371422
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
“Reward processing in primate orbitofrontal cortex and basal ganglia”
“Reward processing in primate orbitofrontal cortex and basal ganglia” is a neuroscience research article by Wolfram Schultz that investigates how specific brain regions in primates encode and evaluate reward-related information to guide behavior.
|
E1126793
|
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: “Reward processing in primate orbitofrontal cortex and basal ganglia” | Statement: [Wolfram Schultz, notableWork, “Reward processing in primate orbitofrontal cortex and basal ganglia”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Reward processing in primate orbitofrontal cortex and basal ganglia” Context triple: [Wolfram Schultz, notableWork, “Reward processing in primate orbitofrontal cortex and basal ganglia”]
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
Brains and Behavior
Brains and Behavior is a section of Hilary Putnam’s philosophical work that examines the relationship between mental states, neurological processes, and observable actions.
-
E.
Nature Neuroscience
Nature Neuroscience is a leading peer-reviewed scientific journal that publishes high-impact research across all areas of neuroscience.
- 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: “Reward processing in primate orbitofrontal cortex and basal ganglia” Triple: [Wolfram Schultz, notableWork, “Reward processing in primate orbitofrontal cortex and basal ganglia”]
Generated description
“Reward processing in primate orbitofrontal cortex and basal ganglia” is a neuroscience research article by Wolfram Schultz that investigates how specific brain regions in primates encode and evaluate reward-related information to guide behavior.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: “Reward processing in primate orbitofrontal cortex and basal ganglia” Target entity description: “Reward processing in primate orbitofrontal cortex and basal ganglia” is a neuroscience research article by Wolfram Schultz that investigates how specific brain regions in primates encode and evaluate reward-related information to guide behavior.
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
Brains and Behavior
Brains and Behavior is a section of Hilary Putnam’s philosophical work that examines the relationship between mental states, neurological processes, and observable actions.
-
E.
Nature Neuroscience
Nature Neuroscience is a leading peer-reviewed scientific journal that publishes high-impact research across all areas of neuroscience.
- 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.