Triple
T11002773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Marr |
E260041
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information is a seminal 1982 book by David Marr that laid the foundations of computational neuroscience and modern theories of visual perception.
|
E899002
|
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: Vision: A Computational Investigation into the Human Representation and Processing of Visual Information | Statement: [David Marr, notableWork, Vision: A Computational Investigation into the Human Representation and Processing of Visual Information]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vision: A Computational Investigation into the Human Representation and Processing of Visual Information Context triple: [David Marr, notableWork, Vision: A Computational Investigation into the Human Representation and Processing of Visual Information]
-
A.
The Psychology of Computer Vision (edited volume)
The Psychology of Computer Vision is an influential edited volume, compiled by Patrick Henry Winston, that brings together foundational research exploring how principles of human perception and cognition can inform and advance computer vision.
-
B.
On Vision and Colors
On Vision and Colors is Arthur Schopenhauer’s early philosophical treatise that expands and critiques Goethe’s color theory by offering a metaphysical and physiological account of human color perception.
-
C.
Gibsonian theory of perceptual learning
The Gibsonian theory of perceptual learning is a psychological framework proposing that perception improves through direct interaction with the environment, as individuals learn to detect increasingly subtle and useful information (or "invariants") in sensory input without relying on internal representations.
-
D.
Learning to See by Moving
"Learning to See by Moving" is a research work in computer vision that explores how visual understanding can emerge from an agent’s own movement and interaction with the environment, rather than from static images alone.
-
E.
Readings in Information Visualization: Using Vision to Think
Readings in Information Visualization: Using Vision to Think is an influential anthology that compiles foundational research and key perspectives on how visual representations support human thinking and data analysis in the field of information visualization.
- 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: Vision: A Computational Investigation into the Human Representation and Processing of Visual Information Triple: [David Marr, notableWork, Vision: A Computational Investigation into the Human Representation and Processing of Visual Information]
Generated description
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information is a seminal 1982 book by David Marr that laid the foundations of computational neuroscience and modern theories of visual perception.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vision: A Computational Investigation into the Human Representation and Processing of Visual Information Target entity description: Vision: A Computational Investigation into the Human Representation and Processing of Visual Information is a seminal 1982 book by David Marr that laid the foundations of computational neuroscience and modern theories of visual perception.
-
A.
The Psychology of Computer Vision (edited volume)
The Psychology of Computer Vision is an influential edited volume, compiled by Patrick Henry Winston, that brings together foundational research exploring how principles of human perception and cognition can inform and advance computer vision.
-
B.
On Vision and Colors
On Vision and Colors is Arthur Schopenhauer’s early philosophical treatise that expands and critiques Goethe’s color theory by offering a metaphysical and physiological account of human color perception.
-
C.
Gibsonian theory of perceptual learning
The Gibsonian theory of perceptual learning is a psychological framework proposing that perception improves through direct interaction with the environment, as individuals learn to detect increasingly subtle and useful information (or "invariants") in sensory input without relying on internal representations.
-
D.
Learning to See by Moving
"Learning to See by Moving" is a research work in computer vision that explores how visual understanding can emerge from an agent’s own movement and interaction with the environment, rather than from static images alone.
-
E.
Readings in Information Visualization: Using Vision to Think
Readings in Information Visualization: Using Vision to Think is an influential anthology that compiles foundational research and key perspectives on how visual representations support human thinking and data analysis in the field of information visualization.
- 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_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_69e3453d181081908cb58a957f4d1295 |
completed | April 18, 2026, 8:47 a.m. |
| NEDg | Description generation | batch_69e35570b0bc8190a939b0c8e3ce8105 |
completed | April 18, 2026, 9:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e359508a388190a16d48a17015e13e |
completed | April 18, 2026, 10:13 a.m. |
Created at: April 8, 2026, 9:25 p.m.