Triple
T4713648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sather Professorships at the University of California, Berkeley |
E104577
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
Department of Rhetoric, University of California, Berkeley
The Department of Rhetoric at the University of California, Berkeley is an interdisciplinary academic unit renowned for its critical study of discourse, theory, and media across the humanities and social sciences.
|
E463388
|
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 Rhetoric, University of California, Berkeley | Statement: [Sather Professorships at the University of California, Berkeley, associatedWith, Department of Rhetoric, University of California, Berkeley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Rhetoric, University of California, Berkeley Context triple: [Sather Professorships at the University of California, Berkeley, associatedWith, Department of Rhetoric, University of California, Berkeley]
-
A.
University of California, Berkeley Department of Political Science
The University of California, Berkeley Department of Political Science is a leading academic department renowned for its influential scholarship and teaching across comparative politics, international relations, political theory, and American politics.
-
B.
College of Letters and Science (UC Berkeley)
The College of Letters and Science at UC Berkeley is the university’s largest and most academically diverse college, encompassing a broad range of disciplines in the arts, humanities, social sciences, and natural sciences.
-
C.
UC Berkeley Office of Communications and Public Affairs
The UC Berkeley Office of Communications and Public Affairs is the campus unit responsible for managing the university’s brand, media relations, and overall external and internal communications strategy.
-
D.
Scripps College of Communication
Scripps College of Communication is a professional college at Ohio University known for its programs in journalism, media, communication studies, and related fields.
-
E.
Stanford University Department of Political Science
The Stanford University Department of Political Science is a leading academic department renowned for its influential research and teaching in political theory, comparative politics, international relations, and American politics.
- 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 Rhetoric, University of California, Berkeley Triple: [Sather Professorships at the University of California, Berkeley, associatedWith, Department of Rhetoric, University of California, Berkeley]
Generated description
The Department of Rhetoric at the University of California, Berkeley is an interdisciplinary academic unit renowned for its critical study of discourse, theory, and media across the humanities and social sciences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Rhetoric, University of California, Berkeley Target entity description: The Department of Rhetoric at the University of California, Berkeley is an interdisciplinary academic unit renowned for its critical study of discourse, theory, and media across the humanities and social sciences.
-
A.
University of California, Berkeley Department of Political Science
The University of California, Berkeley Department of Political Science is a leading academic department renowned for its influential scholarship and teaching across comparative politics, international relations, political theory, and American politics.
-
B.
College of Letters and Science (UC Berkeley)
The College of Letters and Science at UC Berkeley is the university’s largest and most academically diverse college, encompassing a broad range of disciplines in the arts, humanities, social sciences, and natural sciences.
-
C.
UC Berkeley Office of Communications and Public Affairs
The UC Berkeley Office of Communications and Public Affairs is the campus unit responsible for managing the university’s brand, media relations, and overall external and internal communications strategy.
-
D.
Scripps College of Communication
Scripps College of Communication is a professional college at Ohio University known for its programs in journalism, media, communication studies, and related fields.
-
E.
Stanford University Department of Political Science
The Stanford University Department of Political Science is a leading academic department renowned for its influential research and teaching in political theory, comparative politics, international relations, and American politics.
- 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_69bd43eac3c08190af7e4020c6c3704c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6407659481908bcdc063d7b3da00 |
completed | March 20, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be108002e08190b13856f2af135bfc |
completed | March 21, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69be1196fcb08190a151b31204045fa4 |
completed | March 21, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be121448ec8190a29f6d78049002df |
completed | March 21, 2026, 3:35 a.m. |
Created at: March 20, 2026, 1:18 p.m.