Triple
T14188135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E. J. Ourso College of Business |
E351634
|
entity |
| Predicate | hasUnit |
P35
|
FINISHED |
| Object |
Department of Information Systems and Decision Sciences
The Department of Information Systems and Decision Sciences is an academic unit that focuses on the study and teaching of information technology, data analytics, and quantitative decision-making within a business context.
|
E523372
|
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 Information Systems and Decision Sciences | Statement: [E. J. Ourso College of Business, hasUnit, Department of Information Systems and Decision Sciences]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Information Systems and Decision Sciences Context triple: [E. J. Ourso College of Business, hasUnit, Department of Information Systems and Decision Sciences]
-
A.
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.
-
B.
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.
-
C.
Department of Information Systems, Statistics, and Management Science
The Department of Information Systems, Statistics, and Management Science is an academic unit within the Culverhouse College of Business that focuses on data-driven decision-making, analytics, and information technologies in business contexts.
-
D.
Department of Management Information Systems
The Department of Management Information Systems is an academic unit specializing in the study and teaching of information systems, technology management, and data-driven decision-making within the Eller College of Management.
-
E.
Department of Decision Sciences and Managerial Economics
The Department of Decision Sciences and Managerial Economics is an academic unit at The Chinese University of Hong Kong’s Business School that focuses on quantitative decision-making, business analytics, and economic analysis in management.
- 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 Information Systems and Decision Sciences Triple: [E. J. Ourso College of Business, hasUnit, Department of Information Systems and Decision Sciences]
Generated description
The Department of Information Systems and Decision Sciences is an academic unit that focuses on the study and teaching of information technology, data analytics, and quantitative decision-making within a business context.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Information Systems and Decision Sciences Target entity description: The Department of Information Systems and Decision Sciences is an academic unit that focuses on the study and teaching of information technology, data analytics, and quantitative decision-making within a business context.
-
A.
Information Systems and Decision Sciences Department
chosen
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.
-
B.
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.
-
C.
Department of Information Systems, Statistics, and Management Science
The Department of Information Systems, Statistics, and Management Science is an academic unit within the Culverhouse College of Business that focuses on data-driven decision-making, analytics, and information technologies in business contexts.
-
D.
Department of Management Information Systems
The Department of Management Information Systems is an academic unit specializing in the study and teaching of information systems, technology management, and data-driven decision-making within the Eller College of Management.
-
E.
Department of Decision Sciences and Managerial Economics
The Department of Decision Sciences and Managerial Economics is an academic unit at The Chinese University of Hong Kong’s Business School that focuses on quantitative decision-making, business analytics, and economic analysis in management.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61de509881908967ef5031f2a8d9 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd19433dc08190b4d2f1aef1b2d67d |
completed | May 7, 2026, 10:59 p.m. |
| NEDg | Description generation | batch_69fd1ad65b608190b325c82347a3d8b3 |
completed | May 7, 2026, 11:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd1b68e8288190a9e9e3d855ed2719 |
completed | May 7, 2026, 11:08 p.m. |
Created at: April 10, 2026, 1:03 a.m.