Triple
T2949736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlson School of Management |
E79790
|
entity |
| Predicate | hasCenter |
P35
|
FINISHED |
| Object |
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.
|
E314518
|
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: Information and Decision Sciences Department Labs | Statement: [Carlson School of Management, hasCenter, Information and Decision Sciences Department Labs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Information and Decision Sciences Department Labs Context triple: [Carlson School of Management, hasCenter, Information and Decision Sciences Department Labs]
-
A.
MIT Laboratory for Information and Decision Systems
The MIT Laboratory for Information and Decision Systems is a research laboratory at the Massachusetts Institute of Technology focused on advancing the theory and applications of systems, control, communications, and data science.
-
B.
Decision, Operations and Information Technologies Department
The Decision, Operations and Information Technologies Department is an academic unit at the Robert H. Smith School of Business specializing in research and teaching on data-driven decision-making, operations management, and information systems.
-
C.
Department of Complexity Science and Engineering
The Department of Complexity Science and Engineering is an academic unit specializing in the interdisciplinary study and modeling of complex systems across natural, social, and engineered domains.
-
D.
Statistical Decision Functions
Statistical Decision Functions is a foundational work in decision theory and statistics that systematically develops the theory of optimal decision-making under uncertainty.
-
E.
Warning Decision Support System – Integrated Information
Warning Decision Support System – Integrated Information is a meteorological decision-support tool that integrates diverse weather data to help forecasters issue more accurate and timely severe weather warnings.
- 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: Information and Decision Sciences Department Labs Triple: [Carlson School of Management, hasCenter, Information and Decision Sciences Department Labs]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Information and Decision Sciences Department Labs Target entity description: 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.
-
A.
MIT Laboratory for Information and Decision Systems
The MIT Laboratory for Information and Decision Systems is a research laboratory at the Massachusetts Institute of Technology focused on advancing the theory and applications of systems, control, communications, and data science.
-
B.
Decision, Operations and Information Technologies Department
The Decision, Operations and Information Technologies Department is an academic unit at the Robert H. Smith School of Business specializing in research and teaching on data-driven decision-making, operations management, and information systems.
-
C.
Department of Complexity Science and Engineering
The Department of Complexity Science and Engineering is an academic unit specializing in the interdisciplinary study and modeling of complex systems across natural, social, and engineered domains.
-
D.
Statistical Decision Functions
Statistical Decision Functions is a foundational work in decision theory and statistics that systematically develops the theory of optimal decision-making under uncertainty.
-
E.
Warning Decision Support System – Integrated Information
Warning Decision Support System – Integrated Information is a meteorological decision-support tool that integrates diverse weather data to help forecasters issue more accurate and timely severe weather warnings.
- 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_69ad8b1276588190a374a0b12e0f7bdf |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98f95da88190a036a18f39f221c2 |
completed | March 8, 2026, 3:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0fc79f6d081908d3bbd52439f4d31 |
completed | March 11, 2026, 5:24 a.m. |
| NEDg | Description generation | batch_69b0fd07b82881908d52ab2db2f2e54c |
completed | March 11, 2026, 5:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0fdba0fd88190a2e760f1770e846c |
completed | March 11, 2026, 5:29 a.m. |
Created at: March 8, 2026, 2:57 p.m.