Triple

T4928595
Position Surface form Disambiguated ID Type / Status
Subject Costis Maglaras E110635 entity
Predicate affiliation P10 FINISHED
Object Decision, Risk, and Operations Division, Columbia Business School
The Decision, Risk, and Operations Division at Columbia Business School is an academic department focused on research and teaching in operations management, decision science, and risk analysis within business contexts.
E480326 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: Decision, Risk, and Operations Division, Columbia Business School | Statement: [Costis Maglaras, affiliation, Decision, Risk, and Operations Division, Columbia Business School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Decision, Risk, and Operations Division, Columbia Business School
Context triple: [Costis Maglaras, affiliation, Decision, Risk, and Operations Division, Columbia Business School]
  • A. Wharton Risk Management and Decision Processes Center
    Wharton Risk Management and Decision Processes Center is a research center at the Wharton School that focuses on understanding, modeling, and improving decision-making related to risk, uncertainty, and public policy.
  • B. Center for Decision, Risk, Controls
    The Center for Decision, Risk, Controls is a Naval Postgraduate School research center focused on advancing methods and technologies for decision-making, risk analysis, and control systems in complex defense and security environments.
  • C. Department of Economics, Columbia University
    The Department of Economics at Columbia University is a leading academic center for economic research and graduate and undergraduate education, known for its influential faculty and contributions to macroeconomics, econometrics, and economic theory.
  • D. Department of Industrial Engineering and Operations Research, UC Berkeley
    The Department of Industrial Engineering and Operations Research at UC Berkeley is a leading academic department specializing in optimization, stochastic processes, data analytics, and systems engineering for complex decision-making in industry and society.
  • E. Division of Economic and Risk Analysis
    The Division of Economic and Risk Analysis is the U.S. Securities and Exchange Commission’s unit responsible for providing economic, financial, and risk-based analysis to inform securities regulation and policy decisions.
  • 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: Decision, Risk, and Operations Division, Columbia Business School
Triple: [Costis Maglaras, affiliation, Decision, Risk, and Operations Division, Columbia Business School]
Generated description
The Decision, Risk, and Operations Division at Columbia Business School is an academic department focused on research and teaching in operations management, decision science, and risk analysis within business contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Decision, Risk, and Operations Division, Columbia Business School
Target entity description: The Decision, Risk, and Operations Division at Columbia Business School is an academic department focused on research and teaching in operations management, decision science, and risk analysis within business contexts.
  • A. Wharton Risk Management and Decision Processes Center
    Wharton Risk Management and Decision Processes Center is a research center at the Wharton School that focuses on understanding, modeling, and improving decision-making related to risk, uncertainty, and public policy.
  • B. Center for Decision, Risk, Controls
    The Center for Decision, Risk, Controls is a Naval Postgraduate School research center focused on advancing methods and technologies for decision-making, risk analysis, and control systems in complex defense and security environments.
  • C. Department of Economics, Columbia University
    The Department of Economics at Columbia University is a leading academic center for economic research and graduate and undergraduate education, known for its influential faculty and contributions to macroeconomics, econometrics, and economic theory.
  • D. Department of Industrial Engineering and Operations Research, UC Berkeley
    The Department of Industrial Engineering and Operations Research at UC Berkeley is a leading academic department specializing in optimization, stochastic processes, data analytics, and systems engineering for complex decision-making in industry and society.
  • E. Division of Economic and Risk Analysis
    The Division of Economic and Risk Analysis is the U.S. Securities and Exchange Commission’s unit responsible for providing economic, financial, and risk-based analysis to inform securities regulation and policy decisions.
  • 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_69bd4415190c8190817bee7ec9f9f944 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7038c12c81908a793b4a8768c28a completed March 20, 2026, 4:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77af13308190b99f3aca0cb44c61 completed March 21, 2026, 10:49 a.m.
NEDg Description generation batch_69be781aa8648190a58587e6f3e04e11 completed March 21, 2026, 10:51 a.m.
NED2 Entity disambiguation (via description) batch_69be78a0bdc88190bd8458658f15f879 completed March 21, 2026, 10:53 a.m.
Created at: March 20, 2026, 1:30 p.m.