Triple
T760091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Information Networking Institute (Carnegie Mellon University) |
E16047
|
entity |
| Predicate | offersProgram |
P178
|
FINISHED |
| Object | Master of Science in Information Technology – Privacy Engineering |
E82482
|
NE FINISHED |
How this triple was built (2 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: [Information Networking Institute (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: [Information Networking Institute (Carnegie Mellon University), offersProgram, Master of Science in Information Technology – Privacy Engineering]
-
A.
Master of Science in Information Technology – Privacy Engineering
chosen
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.
-
B.
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.
-
C.
Master of Software Engineering – Scalable Systems
The Master of Software Engineering – Scalable Systems is a specialized graduate program at Carnegie Mellon University focused on designing, building, and managing large-scale, high-performance software systems.
-
D.
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.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a68158508190998da10e69252662 |
completed | March 1, 2026, 8:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a65e44b9c88190a4481c28499860d7 |
completed | March 3, 2026, 4:06 a.m. |
Created at: March 1, 2026, 7:37 p.m.