Triple

T1238323

Position	Surface form	Disambiguated ID	Type / Status
Subject	Brown University	`E26598`	entity
Predicate	hasAcademicDivision	`P50`	FINISHED
Object	School of Engineering at Brown University The School of Engineering at Brown University is the university’s engineering division, known for its interdisciplinary research, flexible curriculum, and emphasis on integrating engineering with the liberal arts.	`E142628`	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: School of Engineering at Brown University | Statement: [Brown University, hasAcademicDivision, School of Engineering at Brown University]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: School of Engineering at Brown University
Context triple: [Brown University, hasAcademicDivision, School of Engineering at Brown University]

A. School of Engineering and Applied Science, University of Pennsylvania
The School of Engineering and Applied Science at the University of Pennsylvania is a leading Ivy League engineering school known for its research-intensive programs and interdisciplinary approach to engineering, computer science, and applied science education.
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. Pratt School of Engineering
The Pratt School of Engineering is Duke University's engineering school, known for its strong programs in biomedical engineering, electrical and computer engineering, mechanical engineering, and civil and environmental engineering.
D. MIT School of Engineering
The MIT School of Engineering is the largest and most renowned academic unit of the Massachusetts Institute of Technology, known globally for pioneering research and education in engineering and applied sciences.
E. Fu Foundation School of Engineering and Applied Science
The Fu Foundation School of Engineering and Applied Science is Columbia University's engineering and applied science school, known for its research-intensive programs and location in New York City.
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: School of Engineering at Brown University
Triple: [Brown University, hasAcademicDivision, School of Engineering at Brown University]

Generated description

The School of Engineering at Brown University is the university’s engineering division, known for its interdisciplinary research, flexible curriculum, and emphasis on integrating engineering with the liberal arts.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: School of Engineering at Brown University
Target entity description: The School of Engineering at Brown University is the university’s engineering division, known for its interdisciplinary research, flexible curriculum, and emphasis on integrating engineering with the liberal arts.

A. School of Engineering and Applied Science, University of Pennsylvania
The School of Engineering and Applied Science at the University of Pennsylvania is a leading Ivy League engineering school known for its research-intensive programs and interdisciplinary approach to engineering, computer science, and applied science education.
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. Pratt School of Engineering
The Pratt School of Engineering is Duke University's engineering school, known for its strong programs in biomedical engineering, electrical and computer engineering, mechanical engineering, and civil and environmental engineering.
D. MIT School of Engineering
The MIT School of Engineering is the largest and most renowned academic unit of the Massachusetts Institute of Technology, known globally for pioneering research and education in engineering and applied sciences.
E. Fu Foundation School of Engineering and Applied Science
The Fu Foundation School of Engineering and Applied Science is Columbia University's engineering and applied science school, known for its research-intensive programs and location in New York City.
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_69a4948689d08190b3a4a3f388c02148`	completed	March 1, 2026, 7:33 p.m.
NER	Named-entity recognition	`batch_69a4bf406b988190a12aa26bbcb88d6a`	completed	March 1, 2026, 10:35 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69ac8f7755fc819089e23eca81583885`	completed	March 7, 2026, 8:49 p.m.
NEDg	Description generation	`batch_69ac903eb12c8190a4024a71f15b19a4`	completed	March 7, 2026, 8:53 p.m.
NED2	Entity disambiguation (via description)	`batch_69ac916522b081908401b89261f99d50`	completed	March 7, 2026, 8:58 p.m.

Created at: March 1, 2026, 7:47 p.m.