Triple
T9529307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenan Professor of Computer Science at the University of North Carolina at Chapel Hill |
E229844
|
entity |
| Predicate | academicDepartment |
P589
|
FINISHED |
| Object |
Department of Computer Science at the University of North Carolina at Chapel Hill
The Department of Computer Science at the University of North Carolina at Chapel Hill is a leading academic unit known for its research and education in areas such as artificial intelligence, graphics, systems, and theory within a major public research university.
|
E806040
|
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: Department of Computer Science at the University of North Carolina at Chapel Hill | Statement: [Kenan Professor of Computer Science at the University of North Carolina at Chapel Hill, academicDepartment, Department of Computer Science at the University of North Carolina at Chapel Hill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Computer Science at the University of North Carolina at Chapel Hill Context triple: [Kenan Professor of Computer Science at the University of North Carolina at Chapel Hill, academicDepartment, Department of Computer Science at the University of North Carolina at Chapel Hill]
-
A.
Department of Computer Science, Rutgers University
The Department of Computer Science at Rutgers University is a major academic unit known for its research and education in areas such as algorithms, artificial intelligence, systems, and data science.
-
B.
Department of Computer Science
The Department of Computer Science at Cairo University's Faculty of Science is an academic unit specializing in education and research in computing, software, and information technology.
-
C.
Department of Computer Science
The Department of Computer Science at Scottish Church College is an academic unit offering undergraduate education and research opportunities in computing and information technology within the college.
-
D.
Department of Computer Science
The Department of Computer Science is an academic unit specializing in teaching and research in computing, algorithms, and information technology within a university’s engineering and applied science school.
-
E.
Department of Computer Science
The Department of Computer Science is an academic unit within the University of Swaziland’s Faculty of Science that focuses on teaching and research in computing and information technology.
- 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: Department of Computer Science at the University of North Carolina at Chapel Hill Triple: [Kenan Professor of Computer Science at the University of North Carolina at Chapel Hill, academicDepartment, Department of Computer Science at the University of North Carolina at Chapel Hill]
Generated description
The Department of Computer Science at the University of North Carolina at Chapel Hill is a leading academic unit known for its research and education in areas such as artificial intelligence, graphics, systems, and theory within a major public research university.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Computer Science at the University of North Carolina at Chapel Hill Target entity description: The Department of Computer Science at the University of North Carolina at Chapel Hill is a leading academic unit known for its research and education in areas such as artificial intelligence, graphics, systems, and theory within a major public research university.
-
A.
Department of Computer Science, Rutgers University
The Department of Computer Science at Rutgers University is a major academic unit known for its research and education in areas such as algorithms, artificial intelligence, systems, and data science.
-
B.
Department of Computer Science
The Department of Computer Science at Cairo University's Faculty of Science is an academic unit specializing in education and research in computing, software, and information technology.
-
C.
Department of Computer Science
The Department of Computer Science at Scottish Church College is an academic unit offering undergraduate education and research opportunities in computing and information technology within the college.
-
D.
Department of Computer Science
The Department of Computer Science is an academic unit specializing in teaching and research in computing, algorithms, and information technology within a university’s engineering and applied science school.
-
E.
Department of Computer Science
The Department of Computer Science is an academic unit within the University of Swaziland’s Faculty of Science that focuses on teaching and research in computing and information technology.
- 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_69ca8479934c81908006d0e6e970ae05 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98b1b93481909812245ac14e4988 |
completed | April 1, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c30c6008190b2eff99d74f18070 |
completed | April 4, 2026, 5:36 p.m. |
| NEDg | Description generation | batch_69d14ea0ae408190bcb375a2540c3221 |
completed | April 4, 2026, 5:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d14f13fcdc8190a227d756f1342f16 |
completed | April 4, 2026, 5:49 p.m. |
Created at: March 30, 2026, 8 p.m.