Triple
T1639943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johns Hopkins School of Medicine |
E35445
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Pathology
The Department of Pathology at Johns Hopkins School of Medicine is a leading academic and clinical center specializing in the study, diagnosis, and research of human disease.
|
E186872
|
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 Pathology | Statement: [Johns Hopkins School of Medicine, hasDepartment, Department of Pathology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Pathology Context triple: [Johns Hopkins School of Medicine, hasDepartment, Department of Pathology]
-
A.
Department of Pathology
The Department of Pathology is an academic and clinical unit within Cairo University's Faculty of Medicine that focuses on the study, diagnosis, and teaching of disease processes at the tissue and cellular levels.
-
B.
Department of Pathology
The Department of Pathology at the University Medical Center Göttingen is a medical and research unit specializing in the diagnosis of disease through the examination of tissues, organs, and bodily fluids, as well as in pathology-related teaching and scientific research.
-
C.
Institute of Pathology
The Institute of Pathology at Charité – Universitätsmedizin Berlin is a leading academic center for diagnostic pathology and research on the mechanisms, classification, and progression of human diseases.
-
D.
Department of Pathology, Duke University
The Department of Pathology at Duke University is an academic and clinical department specializing in the study, diagnosis, and research of disease within the Duke University School of Medicine.
-
E.
Department of Anatomy
The Department of Anatomy is an academic unit within Cairo University's Faculty of Medicine that specializes in teaching and researching the structure of the human body.
- 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 Pathology Triple: [Johns Hopkins School of Medicine, hasDepartment, Department of Pathology]
Generated description
The Department of Pathology at Johns Hopkins School of Medicine is a leading academic and clinical center specializing in the study, diagnosis, and research of human disease.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Pathology Target entity description: The Department of Pathology at Johns Hopkins School of Medicine is a leading academic and clinical center specializing in the study, diagnosis, and research of human disease.
-
A.
Department of Pathology
The Department of Pathology is an academic and clinical unit within Cairo University's Faculty of Medicine that focuses on the study, diagnosis, and teaching of disease processes at the tissue and cellular levels.
-
B.
Department of Pathology
The Department of Pathology at the University Medical Center Göttingen is a medical and research unit specializing in the diagnosis of disease through the examination of tissues, organs, and bodily fluids, as well as in pathology-related teaching and scientific research.
-
C.
Institute of Pathology
The Institute of Pathology at Charité – Universitätsmedizin Berlin is a leading academic center for diagnostic pathology and research on the mechanisms, classification, and progression of human diseases.
-
D.
Department of Pathology, Duke University
The Department of Pathology at Duke University is an academic and clinical department specializing in the study, diagnosis, and research of disease within the Duke University School of Medicine.
-
E.
Department of Anatomy
The Department of Anatomy is an academic unit within Cairo University's Faculty of Medicine that specializes in teaching and researching the structure of the human body.
- 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_69a88604618c81908b41f6429c431eb6 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a1c2b148190b6610237d5bede10 |
completed | March 5, 2026, 4:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad609cf8488190ba334bdff2c5e78d |
completed | March 8, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_69ad61ff65b881909009c230780a146e |
completed | March 8, 2026, 11:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad62ec3a80819085fef1c378b9abdc |
completed | March 8, 2026, 11:52 a.m. |
Created at: March 4, 2026, 7:28 p.m.