Triple

T13891982
Position Surface form Disambiguated ID Type / Status
Subject The Architecture of Collapse E333993 entity
Predicate hasAuthorAffiliation P467 FINISHED
Object Mauro F. Guillén has been affiliated with the Wharton School of the University of Pennsylvania
Mauro F. Guillén is a Spanish-American sociologist and management scholar known for his work on globalization, economic crises, and organizational theory, and for his long-standing professorship at the Wharton School of the University of Pennsylvania.
E1067549 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: Mauro F. Guillén has been affiliated with the Wharton School of the University of Pennsylvania | Statement: [The Architecture of Collapse, hasAuthorAffiliation, Mauro F. Guillén has been affiliated with the Wharton School of the University of Pennsylvania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mauro F. Guillén has been affiliated with the Wharton School of the University of Pennsylvania
Context triple: [The Architecture of Collapse, hasAuthorAffiliation, Mauro F. Guillén has been affiliated with the Wharton School of the University of Pennsylvania]
  • A. School of Arts and Sciences, University of Pennsylvania
    The School of Arts and Sciences at the University of Pennsylvania is the institution’s largest academic division, encompassing a wide range of humanities, social sciences, and natural sciences departments and programs.
  • B. Penn Wharton Public Policy Initiative
    The Penn Wharton Public Policy Initiative is a research and engagement center that connects Wharton’s data-driven business and economic expertise with policymakers to inform and improve public policy decisions.
  • C. Wharton Global Family Alliance
    The Wharton Global Family Alliance is a research and education center focused on issues facing global family businesses and family offices, fostering collaboration between academia and enterprising families worldwide.
  • D. Villanova School of Business
    Villanova School of Business is the business school of Villanova University, known for its undergraduate and graduate programs in business disciplines and its emphasis on ethics and experiential learning.
  • E. University of Pennsylvania Department of Economics
    The University of Pennsylvania Department of Economics is a leading academic department known for its influential research, rigorous graduate and undergraduate programs, and significant contributions to the economics profession 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: Mauro F. Guillén has been affiliated with the Wharton School of the University of Pennsylvania
Triple: [The Architecture of Collapse, hasAuthorAffiliation, Mauro F. Guillén has been affiliated with the Wharton School of the University of Pennsylvania]
Generated description
Mauro F. Guillén is a Spanish-American sociologist and management scholar known for his work on globalization, economic crises, and organizational theory, and for his long-standing professorship at the Wharton School of the University of Pennsylvania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mauro F. Guillén has been affiliated with the Wharton School of the University of Pennsylvania
Target entity description: Mauro F. Guillén is a Spanish-American sociologist and management scholar known for his work on globalization, economic crises, and organizational theory, and for his long-standing professorship at the Wharton School of the University of Pennsylvania.
  • A. School of Arts and Sciences, University of Pennsylvania
    The School of Arts and Sciences at the University of Pennsylvania is the institution’s largest academic division, encompassing a wide range of humanities, social sciences, and natural sciences departments and programs.
  • B. Penn Wharton Public Policy Initiative
    The Penn Wharton Public Policy Initiative is a research and engagement center that connects Wharton’s data-driven business and economic expertise with policymakers to inform and improve public policy decisions.
  • C. Wharton Global Family Alliance
    The Wharton Global Family Alliance is a research and education center focused on issues facing global family businesses and family offices, fostering collaboration between academia and enterprising families worldwide.
  • D. Villanova School of Business
    Villanova School of Business is the business school of Villanova University, known for its undergraduate and graduate programs in business disciplines and its emphasis on ethics and experiential learning.
  • E. University of Pennsylvania Department of Economics
    The University of Pennsylvania Department of Economics is a leading academic department known for its influential research, rigorous graduate and undergraduate programs, and significant contributions to the economics profession 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a537d4819093c2bae2a244816a completed April 14, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c71ca8a881908ac02687fbfe62fb completed May 3, 2026, 10:07 p.m.
NEDg Description generation batch_69f7c7e1247481908073c1e282c3619f completed May 3, 2026, 10:10 p.m.
NED2 Entity disambiguation (via description) batch_69f7c8f2b5588190b6143d676eb648a0 completed May 3, 2026, 10:15 p.m.
Created at: April 9, 2026, 10:15 p.m.