Triple
T10065681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fannie Coralie Perkins |
E213096
|
entity |
| Predicate | educatedAt |
P5
|
FINISHED |
| Object | University of Pennsylvania (coursework in economics and sociology) |
E499678
|
NE FINISHED |
How this triple was built (2 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: University of Pennsylvania (coursework in economics and sociology) | Statement: [Fannie Coralie Perkins, educatedAt, University of Pennsylvania (coursework in economics and sociology)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: University of Pennsylvania (coursework in economics and sociology) Context triple: [Fannie Coralie Perkins, educatedAt, University of Pennsylvania (coursework in economics and sociology)]
-
A.
University of Pennsylvania Department of Economics
The University of Pennsylvania Department of Economics is a leading academic department known for its influential research, rigorous graduate and undergraduate programs, and significant contributions to the economics profession in the United States.
-
B.
School of Arts and Sciences, University of Pennsylvania
chosen
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.
-
C.
Penn Wharton Public Policy Initiative
The Penn Wharton Public Policy Initiative is a research and engagement center that connects Wharton’s data-driven business and economic expertise with policymakers to inform and improve public policy decisions.
-
D.
Princeton University Department of Economics
The Princeton University Department of Economics is a leading academic center for economic research and education, known for its influential faculty, rigorous scholarship, and significant impact on economic policy and theory in the United States and worldwide.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83977128819084084eb7d1d8c52a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcff51b108190b6759f651d4ba2d2 |
completed | April 2, 2026, 2:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29a84c3308190ba9286053c1017dc |
completed | April 5, 2026, 5:23 p.m. |
Created at: March 30, 2026, 8:58 p.m.