Triple
T11002521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patricia Churchland |
E260035
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Braintrust: What Neuroscience Tells Us about Morality
"Braintrust: What Neuroscience Tells Us about Morality" is a book by philosopher and neuroscientist Patricia Churchland that explores how brain science and evolution underpin human moral behavior and values.
|
E898993
|
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: Braintrust: What Neuroscience Tells Us about Morality | Statement: [Patricia Churchland, notableWork, Braintrust: What Neuroscience Tells Us about Morality]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Braintrust: What Neuroscience Tells Us about Morality Context triple: [Patricia Churchland, notableWork, Braintrust: What Neuroscience Tells Us about Morality]
-
A.
The roots of morality: why are we good?
"The roots of morality: why are we good?" is a chapter in Richard Dawkins' book *The God Delusion* that explores how human moral behavior can arise from evolutionary and social processes without requiring a religious foundation.
-
B.
The Science of Good and Evil
The Science of Good and Evil is a book by Michael Shermer that explores the origins of morality through the lenses of science, evolution, and secular ethics.
-
C.
The Believing Brain
The Believing Brain is a popular science book by Michael Shermer that explores how and why humans form beliefs first and then seek evidence to support them, drawing on psychology, neuroscience, and skepticism.
-
D.
The Moral Landscape
The Moral Landscape is a 2010 book by neuroscientist and philosopher Sam Harris that argues science can determine human values and objective moral truths by examining well-being.
-
E.
The Analysis of Moral Judgments
The Analysis of Moral Judgments is a philosophical essay that examines the nature, justification, and meaning of moral evaluations and ethical claims.
- 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: Braintrust: What Neuroscience Tells Us about Morality Triple: [Patricia Churchland, notableWork, Braintrust: What Neuroscience Tells Us about Morality]
Generated description
"Braintrust: What Neuroscience Tells Us about Morality" is a book by philosopher and neuroscientist Patricia Churchland that explores how brain science and evolution underpin human moral behavior and values.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Braintrust: What Neuroscience Tells Us about Morality Target entity description: "Braintrust: What Neuroscience Tells Us about Morality" is a book by philosopher and neuroscientist Patricia Churchland that explores how brain science and evolution underpin human moral behavior and values.
-
A.
The roots of morality: why are we good?
"The roots of morality: why are we good?" is a chapter in Richard Dawkins' book *The God Delusion* that explores how human moral behavior can arise from evolutionary and social processes without requiring a religious foundation.
-
B.
The Science of Good and Evil
The Science of Good and Evil is a book by Michael Shermer that explores the origins of morality through the lenses of science, evolution, and secular ethics.
-
C.
The Believing Brain
The Believing Brain is a popular science book by Michael Shermer that explores how and why humans form beliefs first and then seek evidence to support them, drawing on psychology, neuroscience, and skepticism.
-
D.
The Moral Landscape
The Moral Landscape is a 2010 book by neuroscientist and philosopher Sam Harris that argues science can determine human values and objective moral truths by examining well-being.
-
E.
The Analysis of Moral Judgments
The Analysis of Moral Judgments is a philosophical essay that examines the nature, justification, and meaning of moral evaluations and ethical claims.
- 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_69d796d760008190930228fa77b61b8b |
completed | April 9, 2026, 12:08 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.