Triple
T8059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Medicine, Duke University |
E159
|
entity |
| Predicate | hasAcademicDepartment |
P589
|
FINISHED |
| Object |
Department of Anesthesiology, Duke University
The Department of Anesthesiology at Duke University is a leading academic and clinical center specializing in anesthesia, perioperative medicine, pain management, and related research and education.
|
E5544
|
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: Department of Anesthesiology, Duke University | Statement: [School of Medicine, Duke University, hasAcademicDepartment, Department of Anesthesiology, Duke University]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Anesthesiology, Duke University Context triple: [School of Medicine, Duke University, hasAcademicDepartment, Department of Anesthesiology, Duke University]
-
A.
Department of Surgery, Duke University
The Department of Surgery at Duke University is a major academic surgical department known for its clinical excellence, surgical innovation, and research and training programs within Duke’s medical school.
-
B.
School of Medicine, Duke University
The School of Medicine at Duke University is a leading U.S. medical school renowned for its research-intensive programs, innovative medical education, and strong clinical partnerships.
-
C.
Department of Pediatrics, Duke University
The Department of Pediatrics at Duke University is a major academic and clinical center focused on advancing children's health through pediatric education, research, and patient care within Duke's medical school.
-
D.
Department of Obstetrics and Gynecology, Duke University
The Department of Obstetrics and Gynecology at Duke University is a clinical and academic unit specializing in women's reproductive health, pregnancy care, and related research and education within the university's medical center.
-
E.
Department of Neurosurgery, Duke University
The Department of Neurosurgery at Duke University is a leading academic and clinical center specializing in advanced neurosurgical care, research, and education within the Duke University School of Medicine.
- 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: Department of Anesthesiology, Duke University Triple: [School of Medicine, Duke University, hasAcademicDepartment, Department of Anesthesiology, Duke University]
Generated description
The Department of Anesthesiology at Duke University is a leading academic and clinical center specializing in anesthesia, perioperative medicine, pain management, and related research and education.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Anesthesiology, Duke University Target entity description: The Department of Anesthesiology at Duke University is a leading academic and clinical center specializing in anesthesia, perioperative medicine, pain management, and related research and education.
-
A.
Department of Surgery, Duke University
The Department of Surgery at Duke University is a major academic surgical department known for its clinical excellence, surgical innovation, and research and training programs within Duke’s medical school.
-
B.
School of Medicine, Duke University
The School of Medicine at Duke University is a leading U.S. medical school renowned for its research-intensive programs, innovative medical education, and strong clinical partnerships.
-
C.
Department of Pediatrics, Duke University
The Department of Pediatrics at Duke University is a major academic and clinical center focused on advancing children's health through pediatric education, research, and patient care within Duke's medical school.
-
D.
Department of Obstetrics and Gynecology, Duke University
The Department of Obstetrics and Gynecology at Duke University is a clinical and academic unit specializing in women's reproductive health, pregnancy care, and related research and education within the university's medical center.
-
E.
Department of Neurosurgery, Duke University
The Department of Neurosurgery at Duke University is a leading academic and clinical center specializing in advanced neurosurgical care, research, and education within the Duke University School of Medicine.
- 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_69a23bb612708190b09f25385e4b63d1 |
completed | Feb. 28, 2026, 12:49 a.m. |
| NER | Named-entity recognition | batch_69a24659cfe0819088c2e8a61c2274f3 |
completed | Feb. 28, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2552ac50c819085e4e45c00cd7956 |
completed | Feb. 28, 2026, 2:38 a.m. |
| NEDg | Description generation | batch_69a2569c52808190acb928405528d174 |
completed | Feb. 28, 2026, 2:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2575b51188190b8fce6ea4e424ce1 |
completed | Feb. 28, 2026, 2:47 a.m. |
Created at: Feb. 28, 2026, 12:54 a.m.