Triple

T8800341
Position Surface form Disambiguated ID Type / Status
Subject Craig Kielburger E209389 entity
Predicate notableWork P4 FINISHED
Object WEconomy: You Can Find Meaning, Make A Living, and Change the World
WEconomy: You Can Find Meaning, Make A Living, and Change the World is a business and social impact book that guides readers on integrating purpose and profit to build careers and companies that create positive global change.
E759279 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: WEconomy: You Can Find Meaning, Make A Living, and Change the World | Statement: [Craig Kielburger, notableWork, WEconomy: You Can Find Meaning, Make A Living, and Change the World]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WEconomy: You Can Find Meaning, Make A Living, and Change the World
Context triple: [Craig Kielburger, notableWork, WEconomy: You Can Find Meaning, Make A Living, and Change the World]
  • A. 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.
  • B. Deep Economy
    Deep Economy is a nonfiction book by environmentalist Bill McKibben that critiques growth-driven economics and advocates for more localized, sustainable, and community-centered alternatives.
  • C. Economics for the Common Good
    Economics for the Common Good is a book by Nobel laureate Jean Tirole that explains how modern economic thinking can be used to address major social challenges and improve public policy.
  • D. 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.
  • E. 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.
  • 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: WEconomy: You Can Find Meaning, Make A Living, and Change the World
Triple: [Craig Kielburger, notableWork, WEconomy: You Can Find Meaning, Make A Living, and Change the World]
Generated description
WEconomy: You Can Find Meaning, Make A Living, and Change the World is a business and social impact book that guides readers on integrating purpose and profit to build careers and companies that create positive global change.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WEconomy: You Can Find Meaning, Make A Living, and Change the World
Target entity description: WEconomy: You Can Find Meaning, Make A Living, and Change the World is a business and social impact book that guides readers on integrating purpose and profit to build careers and companies that create positive global change.
  • A. 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.
  • B. Deep Economy
    Deep Economy is a nonfiction book by environmentalist Bill McKibben that critiques growth-driven economics and advocates for more localized, sustainable, and community-centered alternatives.
  • C. Economics for the Common Good
    Economics for the Common Good is a book by Nobel laureate Jean Tirole that explains how modern economic thinking can be used to address major social challenges and improve public policy.
  • D. 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.
  • E. 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.
  • 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.