Triple
T6735772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger W. Brockett |
E153749
|
entity |
| Predicate | positionHeld |
P8
|
FINISHED |
| Object |
An Wang Professor of Electrical Engineering and Computer Science at Harvard University
The An Wang Professor of Electrical Engineering and Computer Science at Harvard University is a prestigious endowed chair recognizing a leading scholar in the fields of electrical engineering and computer science.
|
E615221
|
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: An Wang Professor of Electrical Engineering and Computer Science at Harvard University | Statement: [Roger W. Brockett, positionHeld, An Wang Professor of Electrical Engineering and Computer Science at Harvard University]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: An Wang Professor of Electrical Engineering and Computer Science at Harvard University Context triple: [Roger W. Brockett, positionHeld, An Wang Professor of Electrical Engineering and Computer Science at Harvard University]
-
A.
Institute Professor at MIT
Institute Professor at MIT is the highest faculty rank at the Massachusetts Institute of Technology, reserved for a small number of exceptionally distinguished scholars recognized for outstanding contributions to their fields.
-
B.
Professor at Massachusetts Institute of Technology
Professor at the Massachusetts Institute of Technology is an academic position held by faculty members who teach, conduct research, and contribute to scholarship at the renowned science and engineering-focused university in Cambridge, Massachusetts.
-
C.
Stanford W. Ascherman Professor of Computer Science
The Stanford W. Ascherman Professor of Computer Science is a prestigious endowed chair at Stanford University’s Computer Science Department, held by leading scholars such as database theorist Jeffrey D. Ullman.
-
D.
Frederick G. Storey Chair in Computing at Georgia Tech
The Frederick G. Storey Chair in Computing at Georgia Tech is a prestigious endowed faculty position in the College of Computing, held by leading researchers in the field such as theoretical computer scientist Richard Lipton.
-
E.
T. Jefferson Coolidge Professor of Computer Science
The T. Jefferson Coolidge Professor of Computer Science is a prestigious endowed chair at Harvard University’s School of Engineering and Applied Sciences, held by leading researchers in theoretical computer science.
- 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: An Wang Professor of Electrical Engineering and Computer Science at Harvard University Triple: [Roger W. Brockett, positionHeld, An Wang Professor of Electrical Engineering and Computer Science at Harvard University]
Generated description
The An Wang Professor of Electrical Engineering and Computer Science at Harvard University is a prestigious endowed chair recognizing a leading scholar in the fields of electrical engineering and computer science.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: An Wang Professor of Electrical Engineering and Computer Science at Harvard University Target entity description: The An Wang Professor of Electrical Engineering and Computer Science at Harvard University is a prestigious endowed chair recognizing a leading scholar in the fields of electrical engineering and computer science.
-
A.
Institute Professor at MIT
Institute Professor at MIT is the highest faculty rank at the Massachusetts Institute of Technology, reserved for a small number of exceptionally distinguished scholars recognized for outstanding contributions to their fields.
-
B.
Professor at Massachusetts Institute of Technology
Professor at the Massachusetts Institute of Technology is an academic position held by faculty members who teach, conduct research, and contribute to scholarship at the renowned science and engineering-focused university in Cambridge, Massachusetts.
-
C.
Stanford W. Ascherman Professor of Computer Science
The Stanford W. Ascherman Professor of Computer Science is a prestigious endowed chair at Stanford University’s Computer Science Department, held by leading scholars such as database theorist Jeffrey D. Ullman.
-
D.
Frederick G. Storey Chair in Computing at Georgia Tech
The Frederick G. Storey Chair in Computing at Georgia Tech is a prestigious endowed faculty position in the College of Computing, held by leading researchers in the field such as theoretical computer scientist Richard Lipton.
-
E.
T. Jefferson Coolidge Professor of Computer Science
The T. Jefferson Coolidge Professor of Computer Science is a prestigious endowed chair at Harvard University’s School of Engineering and Applied Sciences, held by leading researchers in theoretical computer science.
- 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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d18369d88190a73349075462202b |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b0703288190906cfcaba9d9c85a |
completed | March 27, 2026, 10:56 p.m. |
| NEDg | Description generation | batch_69c70bffe7b48190bbe217bc9fbb08ab |
completed | March 27, 2026, 11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c70c84de7081908d86c6f710410443 |
completed | March 27, 2026, 11:02 p.m. |
Created at: March 27, 2026, 2:09 p.m.