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.