Triple
T657603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Institute for Software Research, Carnegie Mellon University |
E11681
|
entity |
| Predicate | offersProgram |
P178
|
FINISHED |
| Object |
Master of Science in Information Technology – Privacy Engineering
The Master of Science in Information Technology – Privacy Engineering is a specialized graduate program focused on training professionals to design, build, and manage systems and technologies that rigorously protect privacy and comply with data protection regulations.
|
E82482
|
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: Master of Science in Information Technology – Privacy Engineering | Statement: [Institute for Software Research, Carnegie Mellon University, offersProgram, Master of Science in Information Technology – Privacy Engineering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Master of Science in Information Technology – Privacy Engineering Context triple: [Institute for Software Research, Carnegie Mellon University, offersProgram, Master of Science in Information Technology – Privacy Engineering]
-
A.
ACM Workshop on Privacy in the Electronic Society
The ACM Workshop on Privacy in the Electronic Society is a leading academic forum for research and discussion on privacy, security, and data protection issues in digital and online environments.
-
B.
ACM Conference on Data and Application Security and Privacy
The ACM Conference on Data and Application Security and Privacy (CODASPY) is a research-focused annual venue that brings together academics and practitioners to present and discuss advances in securing data and applications and protecting privacy in computer and information systems.
-
C.
Master of Information and Cybersecurity
The Master of Information and Cybersecurity is a graduate-level professional degree focused on advanced training in cybersecurity strategy, technology, and policy for protecting information systems and digital infrastructure.
-
D.
Master of Human-Computer Interaction in Software Engineering
The Master of Human-Computer Interaction in Software Engineering is a specialized graduate program that integrates user-centered design principles with advanced software engineering practices to prepare students for building complex interactive systems.
-
E.
Master of Information and Data Science
The Master of Information and Data Science is a professional graduate degree program focused on advanced data science methods, analytics, and their real-world applications in industry and research.
- 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: Master of Science in Information Technology – Privacy Engineering Triple: [Institute for Software Research, Carnegie Mellon University, offersProgram, Master of Science in Information Technology – Privacy Engineering]
Generated description
The Master of Science in Information Technology – Privacy Engineering is a specialized graduate program focused on training professionals to design, build, and manage systems and technologies that rigorously protect privacy and comply with data protection regulations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Master of Science in Information Technology – Privacy Engineering Target entity description: The Master of Science in Information Technology – Privacy Engineering is a specialized graduate program focused on training professionals to design, build, and manage systems and technologies that rigorously protect privacy and comply with data protection regulations.
-
A.
ACM Workshop on Privacy in the Electronic Society
The ACM Workshop on Privacy in the Electronic Society is a leading academic forum for research and discussion on privacy, security, and data protection issues in digital and online environments.
-
B.
ACM Conference on Data and Application Security and Privacy
The ACM Conference on Data and Application Security and Privacy (CODASPY) is a research-focused annual venue that brings together academics and practitioners to present and discuss advances in securing data and applications and protecting privacy in computer and information systems.
-
C.
Master of Information and Cybersecurity
The Master of Information and Cybersecurity is a graduate-level professional degree focused on advanced training in cybersecurity strategy, technology, and policy for protecting information systems and digital infrastructure.
-
D.
Master of Human-Computer Interaction in Software Engineering
The Master of Human-Computer Interaction in Software Engineering is a specialized graduate program that integrates user-centered design principles with advanced software engineering practices to prepare students for building complex interactive systems.
-
E.
Master of Information and Data Science
The Master of Information and Data Science is a professional graduate degree program focused on advanced data science methods, analytics, and their real-world applications in industry and research.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49fa55e048190bd9913c6c31772d0 |
completed | March 1, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5c39453208190928b61ad090e7e23 |
completed | March 2, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_69a5c4ef88388190b9746f599cf88a35 |
completed | March 2, 2026, 5:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5ce75386081909d780586dcdf0e5a |
completed | March 2, 2026, 5:52 p.m. |
Created at: March 1, 2026, 7:36 p.m.