Triple
T6020015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UCLA Anderson School of Management |
E134039
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Decisions, Operations and Technology Management area
The Decisions, Operations and Technology Management area is an academic department at UCLA Anderson School of Management focused on research and teaching in decision analysis, operations management, and technology-driven business processes.
|
E562207
|
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: Decisions, Operations and Technology Management area | Statement: [UCLA Anderson School of Management, hasDepartment, Decisions, Operations and Technology Management area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Decisions, Operations and Technology Management area Context triple: [UCLA Anderson School of Management, hasDepartment, Decisions, Operations and Technology Management area]
-
A.
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.
-
B.
Management Science
Management Science is a leading peer-reviewed academic journal that publishes research on quantitative and analytical approaches to management and decision-making across a wide range of business and organizational domains.
-
C.
Operations Research
Operations Research is a leading peer-reviewed academic journal that publishes advanced research on the theory and application of analytical methods to decision-making and optimization in complex systems.
-
D.
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.
-
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: Decisions, Operations and Technology Management area Triple: [UCLA Anderson School of Management, hasDepartment, Decisions, Operations and Technology Management area]
Generated description
The Decisions, Operations and Technology Management area is an academic department at UCLA Anderson School of Management focused on research and teaching in decision analysis, operations management, and technology-driven business processes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Decisions, Operations and Technology Management area Target entity description: The Decisions, Operations and Technology Management area is an academic department at UCLA Anderson School of Management focused on research and teaching in decision analysis, operations management, and technology-driven business processes.
-
A.
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.
-
B.
Management Science
Management Science is a leading peer-reviewed academic journal that publishes research on quantitative and analytical approaches to management and decision-making across a wide range of business and organizational domains.
-
C.
Operations Research
Operations Research is a leading peer-reviewed academic journal that publishes advanced research on the theory and application of analytical methods to decision-making and optimization in complex systems.
-
D.
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.
-
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_69c008742a5c8190b9cb9c2787a3d8b3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f86efec8190bc357dddf6ebb4a9 |
completed | March 22, 2026, 8:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c108be2170819084b4b940e52b0185 |
completed | March 23, 2026, 9:32 a.m. |
| NEDg | Description generation | batch_69c10abc9aa08190acf1ced6a8be322e |
completed | March 23, 2026, 9:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c10b5c118c8190aaf5461c40472022 |
completed | March 23, 2026, 9:43 a.m. |
Created at: March 22, 2026, 4:07 p.m.