Triple

T11470829
Position Surface form Disambiguated ID Type / Status
Subject UConn School of Business E271900 entity
Predicate degreeOffered P49 FINISHED
Object MS in Financial Risk Management
The MS in Financial Risk Management is a specialized graduate program that prepares students to identify, analyze, and manage financial risks in global markets through advanced quantitative and analytical training.
E48630 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: MS in Financial Risk Management | Statement: [UConn School of Business, degreeOffered, MS in Financial Risk Management]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MS in Financial Risk Management
Context triple: [UConn School of Business, degreeOffered, MS in Financial Risk Management]
  • A. Master of Quantitative Management
    The Master of Quantitative Management is a graduate business degree focused on applying data analytics, statistics, and quantitative methods to solve complex organizational and managerial problems.
  • B. Master of Science in Finance program
    The Master of Science in Finance program is a graduate-level degree focused on advanced financial theory, quantitative analysis, and practical skills for careers in corporate finance, investment management, and financial markets.
  • C. Master of Financial Engineering
    The Master of Financial Engineering is a specialized graduate degree program that trains students to apply advanced quantitative, mathematical, and computational methods to finance and risk management.
  • D. MPhil in Finance
    The MPhil in Finance is a postgraduate research-oriented master’s program at the University of Cambridge designed to provide rigorous training in financial economics and quantitative finance, often serving as preparation for PhD study or high-level finance careers.
  • E. Master of Management in Finance
    The Master of Management in Finance is a specialized graduate program focused on advanced financial theory and practice, preparing students for careers in areas such as investment banking, asset management, and corporate finance.
  • 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: MS in Financial Risk Management
Triple: [UConn School of Business, degreeOffered, MS in Financial Risk Management]
Generated description
The MS in Financial Risk Management is a specialized graduate program that prepares students to identify, analyze, and manage financial risks in global markets through advanced quantitative and analytical training.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MS in Financial Risk Management
Target entity description: The MS in Financial Risk Management is a specialized graduate program that prepares students to identify, analyze, and manage financial risks in global markets through advanced quantitative and analytical training.
  • A. Master of Quantitative Management
    The Master of Quantitative Management is a graduate business degree focused on applying data analytics, statistics, and quantitative methods to solve complex organizational and managerial problems.
  • B. Master of Science in Finance program
    The Master of Science in Finance program is a graduate-level degree focused on advanced financial theory, quantitative analysis, and practical skills for careers in corporate finance, investment management, and financial markets.
  • C. Master of Financial Engineering chosen
    The Master of Financial Engineering is a specialized graduate degree program that trains students to apply advanced quantitative, mathematical, and computational methods to finance and risk management.
  • D. MPhil in Finance
    The MPhil in Finance is a postgraduate research-oriented master’s program at the University of Cambridge designed to provide rigorous training in financial economics and quantitative finance, often serving as preparation for PhD study or high-level finance careers.
  • E. Master of Management in Finance
    The Master of Management in Finance is a specialized graduate program focused on advanced financial theory and practice, preparing students for careers in areas such as investment banking, asset management, and corporate finance.
  • F. None of above.

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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d82949e3688190b024a4980666c94f completed April 9, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e94ea4748190b375e644b2f1a46c completed April 20, 2026, 8:52 a.m.
NEDg Description generation batch_69e5f15a50b881908d0930021833ae74 completed April 20, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69e5f88f16748190826a7fc5d27019d7 completed April 20, 2026, 9:57 a.m.
Created at: April 8, 2026, 9:35 p.m.