Triple
T5170021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Pennsylvania Department of Linguistics |
E116653
|
entity |
| Predicate | affiliatedWith |
P254
|
FINISHED |
| Object |
School of Arts and Sciences, University of Pennsylvania
The School of Arts and Sciences at the University of Pennsylvania is the institution’s largest academic division, encompassing a wide range of humanities, social sciences, and natural sciences departments and programs.
|
E499678
|
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 Arts and Sciences, University of Pennsylvania | Statement: [University of Pennsylvania Department of Linguistics, affiliatedWith, School of Arts and Sciences, University of Pennsylvania]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: School of Arts and Sciences, University of Pennsylvania Context triple: [University of Pennsylvania Department of Linguistics, affiliatedWith, School of Arts and Sciences, University of Pennsylvania]
-
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.
University of Pennsylvania
The University of Pennsylvania is a prestigious Ivy League research university in Philadelphia known for its strong programs across disciplines, including engineering, business, law, and medicine.
-
C.
Princeton University Faculty of Arts and Sciences
The Princeton University Faculty of Arts and Sciences is the core academic division of Princeton that oversees its humanities, social sciences, natural sciences, and related departments, supporting both undergraduate and graduate education.
-
D.
University of the Sciences in Philadelphia
The University of the Sciences in Philadelphia was a specialized private university known for its strong programs in pharmacy, health sciences, and related STEM fields.
-
E.
Board of Trustees of the University of Pennsylvania
The Board of Trustees of the University of Pennsylvania is the university’s governing body, responsible for overseeing its strategic direction, financial health, and overall institutional governance.
- 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 Arts and Sciences, University of Pennsylvania Triple: [University of Pennsylvania Department of Linguistics, affiliatedWith, School of Arts and Sciences, University of Pennsylvania]
Generated description
The School of Arts and Sciences at the University of Pennsylvania is the institution’s largest academic division, encompassing a wide range of humanities, social sciences, and natural sciences departments and programs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: School of Arts and Sciences, University of Pennsylvania Target entity description: The School of Arts and Sciences at the University of Pennsylvania is the institution’s largest academic division, encompassing a wide range of humanities, social sciences, and natural sciences departments and programs.
-
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.
University of Pennsylvania
The University of Pennsylvania is a prestigious Ivy League research university in Philadelphia known for its strong programs across disciplines, including engineering, business, law, and medicine.
-
C.
Princeton University Faculty of Arts and Sciences
The Princeton University Faculty of Arts and Sciences is the core academic division of Princeton that oversees its humanities, social sciences, natural sciences, and related departments, supporting both undergraduate and graduate education.
-
D.
University of the Sciences in Philadelphia
The University of the Sciences in Philadelphia was a specialized private university known for its strong programs in pharmacy, health sciences, and related STEM fields.
-
E.
Board of Trustees of the University of Pennsylvania
The Board of Trustees of the University of Pennsylvania is the university’s governing body, responsible for overseeing its strategic direction, financial health, and overall institutional governance.
- 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_69bd445ff97c81909a2615cc56235470 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd794f44248190a3a90c92208104a7 |
completed | March 20, 2026, 4:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed93f33ac8190b2f60a8e95685bc8 |
completed | March 21, 2026, 5:45 p.m. |
| NEDg | Description generation | batch_69beda0419108190862d028a14227e8a |
completed | March 21, 2026, 5:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bedaa232ac81908c5ee2d4ba8cbcd7 |
completed | March 21, 2026, 5:51 p.m. |
Created at: March 20, 2026, 1:45 p.m.