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.