Triple
T7520717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USC Marshall School of Business |
E177760
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Data Sciences and Operations
The Department of Data Sciences and Operations is an academic unit at the USC Marshall School of Business that focuses on research and education in data analytics, statistics, information systems, and operations management.
|
E670137
|
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: Department of Data Sciences and Operations | Statement: [USC Marshall School of Business, hasDepartment, Department of Data Sciences and Operations]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Data Sciences and Operations Context triple: [USC Marshall School of Business, hasDepartment, Department of Data Sciences and Operations]
-
A.
Department of Operations Research and Statistics
The Department of Operations Research and Statistics is an academic unit specializing in quantitative decision-making, optimization, and statistical analysis within the Faculty of Organizational Sciences at the University of Belgrade.
-
B.
Department of Business Analytics and Statistics
The Department of Business Analytics and Statistics is an academic unit specializing in data-driven decision-making, statistical analysis, and analytics education and research within the Haslam College of Business.
-
C.
Department of Information Systems and Analytics
The Department of Information Systems and Analytics is an academic unit specializing in data-driven decision-making, information technology, and business analytics within the Leavey School of Business.
-
D.
Office of Data Science
The Office of Data Science is a specialized unit that applies advanced data analytics and quantitative methods to support the U.S. Securities and Exchange Commission’s economic, risk, and policy analysis.
-
E.
Information Systems and Decision Sciences Department
The Information Systems and Decision Sciences Department is an academic unit specializing in information technology, analytics, and data-driven decision-making within the Muma College of Business.
- 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: Department of Data Sciences and Operations Triple: [USC Marshall School of Business, hasDepartment, Department of Data Sciences and Operations]
Generated description
The Department of Data Sciences and Operations is an academic unit at the USC Marshall School of Business that focuses on research and education in data analytics, statistics, information systems, and operations management.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Data Sciences and Operations Target entity description: The Department of Data Sciences and Operations is an academic unit at the USC Marshall School of Business that focuses on research and education in data analytics, statistics, information systems, and operations management.
-
A.
Department of Operations Research and Statistics
The Department of Operations Research and Statistics is an academic unit specializing in quantitative decision-making, optimization, and statistical analysis within the Faculty of Organizational Sciences at the University of Belgrade.
-
B.
Department of Business Analytics and Statistics
The Department of Business Analytics and Statistics is an academic unit specializing in data-driven decision-making, statistical analysis, and analytics education and research within the Haslam College of Business.
-
C.
Department of Information Systems and Analytics
The Department of Information Systems and Analytics is an academic unit specializing in data-driven decision-making, information technology, and business analytics within the Leavey School of Business.
-
D.
Office of Data Science
The Office of Data Science is a specialized unit that applies advanced data analytics and quantitative methods to support the U.S. Securities and Exchange Commission’s economic, risk, and policy analysis.
-
E.
Information Systems and Decision Sciences Department
The Information Systems and Decision Sciences Department is an academic unit specializing in information technology, analytics, and data-driven decision-making within the Muma College of Business.
- 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_69c69f2891148190a484f3b8222c6f1b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f7c2ad6c8190b822c0a5b80e7829 |
completed | March 27, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84629f00c8190a64d51586bd3b96c |
completed | March 28, 2026, 9:20 p.m. |
| NEDg | Description generation | batch_69c8471da6c481909b48db7ad6e9426d |
completed | March 28, 2026, 9:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c848049f548190b8c9a9c3d3aeed45 |
completed | March 28, 2026, 9:28 p.m. |
Created at: March 27, 2026, 3:46 p.m.