Triple
T760095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Information Networking Institute (Carnegie Mellon University) |
E16047
|
entity |
| Predicate | collaboratesWith |
P37
|
FINISHED |
| Object |
Software Engineering Institute (Carnegie Mellon University)
The Software Engineering Institute at Carnegie Mellon University is a federally funded research and development center that advances the state of the art in software engineering, cybersecurity, and related technologies for government and industry.
|
E91588
|
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: Software Engineering Institute (Carnegie Mellon University) | Statement: [Information Networking Institute (Carnegie Mellon University), collaboratesWith, Software Engineering Institute (Carnegie Mellon University)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Software Engineering Institute (Carnegie Mellon University) Context triple: [Information Networking Institute (Carnegie Mellon University), collaboratesWith, Software Engineering Institute (Carnegie Mellon University)]
-
A.
Institute for Software Research, Carnegie Mellon University
The Institute for Software Research at Carnegie Mellon University is a leading academic center focused on research and education in software engineering, cybersecurity, privacy, and socio-technical systems.
-
B.
Carnegie Mellon University CyLab
Carnegie Mellon University CyLab is a leading interdisciplinary research center focused on cybersecurity, privacy, and related technologies, bringing together experts from computer science, engineering, and public policy.
-
C.
Computer Science Department, Carnegie Mellon University
The Computer Science Department at Carnegie Mellon University is a core academic unit renowned for pioneering research and education in computer science within CMU’s School of Computer Science.
-
D.
Information Networking Institute (Carnegie Mellon University)
The Information Networking Institute at Carnegie Mellon University is an interdisciplinary academic and research center focused on information networking, cybersecurity, and related technologies.
-
E.
Stanford Research Institute
Stanford Research Institute (now SRI International) is a prominent independent nonprofit research and innovation center known for pioneering advances in computing, artificial intelligence, and other cutting-edge technologies.
- 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: Software Engineering Institute (Carnegie Mellon University) Triple: [Information Networking Institute (Carnegie Mellon University), collaboratesWith, Software Engineering Institute (Carnegie Mellon University)]
Generated description
The Software Engineering Institute at Carnegie Mellon University is a federally funded research and development center that advances the state of the art in software engineering, cybersecurity, and related technologies for government and industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Software Engineering Institute (Carnegie Mellon University) Target entity description: The Software Engineering Institute at Carnegie Mellon University is a federally funded research and development center that advances the state of the art in software engineering, cybersecurity, and related technologies for government and industry.
-
A.
Institute for Software Research, Carnegie Mellon University
The Institute for Software Research at Carnegie Mellon University is a leading academic center focused on research and education in software engineering, cybersecurity, privacy, and socio-technical systems.
-
B.
Carnegie Mellon University CyLab
Carnegie Mellon University CyLab is a leading interdisciplinary research center focused on cybersecurity, privacy, and related technologies, bringing together experts from computer science, engineering, and public policy.
-
C.
Computer Science Department, Carnegie Mellon University
The Computer Science Department at Carnegie Mellon University is a core academic unit renowned for pioneering research and education in computer science within CMU’s School of Computer Science.
-
D.
Information Networking Institute (Carnegie Mellon University)
The Information Networking Institute at Carnegie Mellon University is an interdisciplinary academic and research center focused on information networking, cybersecurity, and related technologies.
-
E.
Stanford Research Institute
Stanford Research Institute (now SRI International) is a prominent independent nonprofit research and innovation center known for pioneering advances in computing, artificial intelligence, and other cutting-edge technologies.
- 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_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_69a66673d6288190bb6a68c6c376016e |
completed | March 3, 2026, 4:41 a.m. |
| NEDg | Description generation | batch_69a66b18f198819086dac829b8779dfa |
completed | March 3, 2026, 5:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a66b91da5081909963905631641e0f |
completed | March 3, 2026, 5:03 a.m. |
Created at: March 1, 2026, 7:37 p.m.