Triple
T12937147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Ross |
E309540
|
entity |
| Predicate | hasWrittenWork |
P4
|
FINISHED |
| Object |
Crime: How to Solve It – And Why So Much of What We’re Told Is Wrong
"Crime: How to Solve It – And Why So Much of What We’re Told Is Wrong" is a non-fiction book that challenges common assumptions about crime and criminal justice, offering evidence-based proposals for more effective crime reduction.
|
E1011803
|
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: Crime: How to Solve It – And Why So Much of What We’re Told Is Wrong | Statement: [Nick Ross, hasWrittenWork, Crime: How to Solve It – And Why So Much of What We’re Told Is Wrong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crime: How to Solve It – And Why So Much of What We’re Told Is Wrong Context triple: [Nick Ross, hasWrittenWork, Crime: How to Solve It – And Why So Much of What We’re Told Is Wrong]
-
A.
A Brief History of Crime
A Brief History of Crime is a non-fiction book by British journalist Peter Hitchens that critiques modern criminal justice policies and argues for a return to more traditional approaches to law and order in the United Kingdom.
-
B.
Smart on Crime: A Career Prosecutor’s Plan to Make Us Safer
Smart on Crime: A Career Prosecutor’s Plan to Make Us Safer is a policy-focused book by Kamala Harris outlining criminal justice reforms aimed at improving public safety while reducing mass incarceration.
-
C.
"Crime: Its Cause and Treatment"
"Crime: Its Cause and Treatment" is a 1922 non-fiction work by American lawyer Clarence Darrow that examines the social, economic, and psychological roots of criminal behavior and critiques traditional approaches to punishment.
-
D.
Thinking About Crime
"Thinking About Crime" is a seminal work of criminology and public policy in which James Q. Wilson analyzes the causes of crime and advocates for deterrence-focused, tough-on-crime strategies.
-
E.
Report on the Causes of Crime
Report on the Causes of Crime is a major analytical study produced by the Wickersham Commission that examined the underlying social, economic, and legal factors contributing to criminal behavior in the United States.
- 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: Crime: How to Solve It – And Why So Much of What We’re Told Is Wrong Triple: [Nick Ross, hasWrittenWork, Crime: How to Solve It – And Why So Much of What We’re Told Is Wrong]
Generated description
"Crime: How to Solve It – And Why So Much of What We’re Told Is Wrong" is a non-fiction book that challenges common assumptions about crime and criminal justice, offering evidence-based proposals for more effective crime reduction.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Crime: How to Solve It – And Why So Much of What We’re Told Is Wrong Target entity description: "Crime: How to Solve It – And Why So Much of What We’re Told Is Wrong" is a non-fiction book that challenges common assumptions about crime and criminal justice, offering evidence-based proposals for more effective crime reduction.
-
A.
A Brief History of Crime
A Brief History of Crime is a non-fiction book by British journalist Peter Hitchens that critiques modern criminal justice policies and argues for a return to more traditional approaches to law and order in the United Kingdom.
-
B.
Smart on Crime: A Career Prosecutor’s Plan to Make Us Safer
Smart on Crime: A Career Prosecutor’s Plan to Make Us Safer is a policy-focused book by Kamala Harris outlining criminal justice reforms aimed at improving public safety while reducing mass incarceration.
-
C.
"Crime: Its Cause and Treatment"
"Crime: Its Cause and Treatment" is a 1922 non-fiction work by American lawyer Clarence Darrow that examines the social, economic, and psychological roots of criminal behavior and critiques traditional approaches to punishment.
-
D.
Thinking About Crime
"Thinking About Crime" is a seminal work of criminology and public policy in which James Q. Wilson analyzes the causes of crime and advocates for deterrence-focused, tough-on-crime strategies.
-
E.
Report on the Causes of Crime
Report on the Causes of Crime is a major analytical study produced by the Wickersham Commission that examined the underlying social, economic, and legal factors contributing to criminal behavior in the United States.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97dc76d688190bd58a23351373666 |
completed | April 10, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af6ef89881908ec3138b9f4a8b1a |
completed | May 3, 2026, 2:14 a.m. |
| NEDg | Description generation | batch_69f6b0660b188190a67bfff73b882d92 |
completed | May 3, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b1a539148190be7a4f16f738ca90 |
completed | May 3, 2026, 2:23 a.m. |
Created at: April 9, 2026, 5:43 p.m.