Triple
T16293794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G. Brint Ryan College of Business |
E395591
|
entity |
| Predicate | hasUnit |
P35
|
FINISHED |
| Object |
Department of Information Technology and Decision Sciences
The Department of Information Technology and Decision Sciences is an academic unit that focuses on teaching and research in areas such as information systems, data analytics, and quantitative decision-making within the G. Brint Ryan College of Business.
|
E1205719
|
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 Technology and Decision Sciences | Statement: [G. Brint Ryan College of Business, hasUnit, Department of Information Technology and Decision Sciences]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Information Technology and Decision Sciences Context triple: [G. Brint Ryan College of Business, hasUnit, Department of Information Technology 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 Technologies
The Department of Information Systems and Technologies is an academic unit specializing in information systems, software engineering, and related IT disciplines within the Faculty of Organizational Sciences at the University of Belgrade.
-
C.
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.
-
D.
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.
-
E.
Information and Decision Sciences Department Labs
The Information and Decision Sciences Department Labs is a research and teaching hub focused on data analytics, information systems, and decision-making technologies within the Carlson School of 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 Technology and Decision Sciences Triple: [G. Brint Ryan College of Business, hasUnit, Department of Information Technology and Decision Sciences]
Generated description
The Department of Information Technology and Decision Sciences is an academic unit that focuses on teaching and research in areas such as information systems, data analytics, and quantitative decision-making within the G. Brint Ryan College of Business.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Information Technology and Decision Sciences Target entity description: The Department of Information Technology and Decision Sciences is an academic unit that focuses on teaching and research in areas such as information systems, data analytics, and quantitative decision-making within the G. Brint Ryan College of Business.
-
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 Technologies
The Department of Information Systems and Technologies is an academic unit specializing in information systems, software engineering, and related IT disciplines within the Faculty of Organizational Sciences at the University of Belgrade.
-
C.
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.
-
D.
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.
-
E.
Information and Decision Sciences Department Labs
The Information and Decision Sciences Department Labs is a research and teaching hub focused on data analytics, information systems, and decision-making technologies within the Carlson School of Management.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e2c255881909d99c43770475329 |
completed | April 17, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f9965b8819080278ccef15288aa |
completed | May 10, 2026, 6:03 a.m. |
| NEDg | Description generation | batch_6a0021459c4081908e4c1d2e0bc8a5be |
completed | May 10, 2026, 6:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0022247e908190842ca6186b4e9c4c |
completed | May 10, 2026, 6:13 a.m. |
Created at: April 10, 2026, 5:05 a.m.