Triple
T9638042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brown University Faculty of Arts and Sciences |
E232984
|
entity |
| Predicate | collaboratesWith |
P37
|
FINISHED |
| Object |
Brown University School of Engineering
Brown University School of Engineering is the engineering division of Brown University, known for its interdisciplinary research, emphasis on innovation and entrepreneurship, and integration of engineering with the liberal arts.
|
E26598
|
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: Brown University School of Engineering | Statement: [Brown University Faculty of Arts and Sciences, collaboratesWith, Brown University School of Engineering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brown University School of Engineering Context triple: [Brown University Faculty of Arts and Sciences, collaboratesWith, Brown University School of Engineering]
-
A.
Princeton University School of Engineering and Applied Science
Princeton University School of Engineering and Applied Science is the engineering division of Princeton University, offering undergraduate and graduate programs in fields such as computer science, electrical engineering, mechanical and aerospace engineering, and related applied sciences.
-
B.
Yale School of Engineering & Applied Science
Yale School of Engineering & Applied Science is Yale University's engineering and applied science division, offering interdisciplinary research and education across fields such as biomedical, chemical, electrical, environmental, and mechanical engineering.
-
C.
Brown University
Brown University is a private Ivy League research university in Providence, Rhode Island, known for its open curriculum and emphasis on undergraduate education.
-
D.
Worcester Polytechnic Institute
Worcester Polytechnic Institute is a private research university in Worcester, Massachusetts, known for its strong engineering, science, and technology programs and its project-based learning curriculum.
-
E.
Thayer School of Engineering
Thayer School of Engineering is the engineering school of Dartmouth College, known for its interdisciplinary programs and emphasis on innovation and entrepreneurship.
- 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: Brown University School of Engineering Triple: [Brown University Faculty of Arts and Sciences, collaboratesWith, Brown University School of Engineering]
Generated description
Brown University School of Engineering is the engineering division of Brown University, known for its interdisciplinary research, emphasis on innovation and entrepreneurship, and integration of engineering with the liberal arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brown University School of Engineering Target entity description: Brown University School of Engineering is the engineering division of Brown University, known for its interdisciplinary research, emphasis on innovation and entrepreneurship, and integration of engineering with the liberal arts.
-
A.
Princeton University School of Engineering and Applied Science
Princeton University School of Engineering and Applied Science is the engineering division of Princeton University, offering undergraduate and graduate programs in fields such as computer science, electrical engineering, mechanical and aerospace engineering, and related applied sciences.
-
B.
Yale School of Engineering & Applied Science
Yale School of Engineering & Applied Science is Yale University's engineering and applied science division, offering interdisciplinary research and education across fields such as biomedical, chemical, electrical, environmental, and mechanical engineering.
-
C.
Brown University
chosen
Brown University is a private Ivy League research university in Providence, Rhode Island, known for its open curriculum and emphasis on undergraduate education.
-
D.
Worcester Polytechnic Institute
Worcester Polytechnic Institute is a private research university in Worcester, Massachusetts, known for its strong engineering, science, and technology programs and its project-based learning curriculum.
-
E.
Thayer School of Engineering
Thayer School of Engineering is the engineering school of Dartmouth College, known for its interdisciplinary programs and emphasis on innovation and entrepreneurship.
- F. None of above.
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_69ca848a5a908190aad251f4137b0c3a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b51b08081908e30744607b28953 |
completed | April 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f6a7ddc8190b7e8add97b7dc257 |
completed | April 4, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69d1a022efd48190b0206bbdf3d93b9e |
completed | April 4, 2026, 11:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1a09ae5b48190b4d0b01cd20ba140 |
completed | April 4, 2026, 11:36 p.m. |
Created at: March 30, 2026, 8:11 p.m.