Triple
T8800861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Liveris |
E209401
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Make It in America: The Case for Re-Inventing the Economy
"Make It in America: The Case for Re-Inventing the Economy" is a book by business leader Andrew Liveris that argues for revitalizing U.S. manufacturing and industrial policy to strengthen the nation’s economic competitiveness.
|
E759322
|
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: Make It in America: The Case for Re-Inventing the Economy | Statement: [Andrew Liveris, notableWork, Make It in America: The Case for Re-Inventing the Economy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Make It in America: The Case for Re-Inventing the Economy Context triple: [Andrew Liveris, notableWork, Make It in America: The Case for Re-Inventing the Economy]
-
A.
Good Economics for Hard Times
Good Economics for Hard Times is a popular economics book by Nobel laureates Abhijit V. Banerjee and Esther Duflo that examines contemporary social and economic challenges through rigorous empirical research and accessible analysis.
-
B.
From the Ground Up: A Journey to Reimagine the Promise of America
"From the Ground Up: A Journey to Reimagine the Promise of America" is a memoir by former Starbucks CEO Howard Schultz that blends his personal story with reflections on business, leadership, and social responsibility in the United States.
-
C.
American Made: What Happens to People When Work Disappears
American Made: What Happens to People When Work Disappears is a nonfiction book that examines the human and community consequences of deindustrialization and job loss in the United States through the stories of displaced factory workers.
-
D.
How to Make It in America
How to Make It in America is an HBO comedy-drama series that follows two young entrepreneurs hustling to succeed in New York City's fashion scene.
-
E.
There Is Nothing for You Here: Finding Opportunity in the Twenty-First Century
"There Is Nothing for You Here: Finding Opportunity in the Twenty-First Century" is a political memoir and analysis by foreign policy expert Fiona Hill, exploring economic decline, populism, and the search for opportunity through her experiences in the UK, Russia, and 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: Make It in America: The Case for Re-Inventing the Economy Triple: [Andrew Liveris, notableWork, Make It in America: The Case for Re-Inventing the Economy]
Generated description
"Make It in America: The Case for Re-Inventing the Economy" is a book by business leader Andrew Liveris that argues for revitalizing U.S. manufacturing and industrial policy to strengthen the nation’s economic competitiveness.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Make It in America: The Case for Re-Inventing the Economy Target entity description: "Make It in America: The Case for Re-Inventing the Economy" is a book by business leader Andrew Liveris that argues for revitalizing U.S. manufacturing and industrial policy to strengthen the nation’s economic competitiveness.
-
A.
Good Economics for Hard Times
Good Economics for Hard Times is a popular economics book by Nobel laureates Abhijit V. Banerjee and Esther Duflo that examines contemporary social and economic challenges through rigorous empirical research and accessible analysis.
-
B.
From the Ground Up: A Journey to Reimagine the Promise of America
"From the Ground Up: A Journey to Reimagine the Promise of America" is a memoir by former Starbucks CEO Howard Schultz that blends his personal story with reflections on business, leadership, and social responsibility in the United States.
-
C.
American Made: What Happens to People When Work Disappears
American Made: What Happens to People When Work Disappears is a nonfiction book that examines the human and community consequences of deindustrialization and job loss in the United States through the stories of displaced factory workers.
-
D.
How to Make It in America
How to Make It in America is an HBO comedy-drama series that follows two young entrepreneurs hustling to succeed in New York City's fashion scene.
-
E.
There Is Nothing for You Here: Finding Opportunity in the Twenty-First Century
"There Is Nothing for You Here: Finding Opportunity in the Twenty-First Century" is a political memoir and analysis by foreign policy expert Fiona Hill, exploring economic decline, populism, and the search for opportunity through her experiences in the UK, Russia, and 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_69ca836320e48190b5cf585b90a322c4 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fb8aab88190befed16301e08efc |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6f6fdd688190bf40bbde0be991e1 |
completed | April 3, 2026, 7:42 a.m. |
| NEDg | Description generation | batch_69cf718a6f2c81908f8b8d08a1437749 |
completed | April 3, 2026, 7:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf7275fea08190b8999fb30663ff17 |
completed | April 3, 2026, 7:55 a.m. |
Created at: March 30, 2026, 6:44 p.m.