Triple
T11389512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanderbilt University School of Medicine |
E269796
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object |
Department of Biomedical Informatics
The Department of Biomedical Informatics is an academic unit specializing in the research and education of computational and data-driven methods to advance biomedical science and healthcare.
|
E441458
|
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 Biomedical Informatics | Statement: [Vanderbilt University School of Medicine, hasDivision, Department of Biomedical Informatics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Biomedical Informatics Context triple: [Vanderbilt University School of Medicine, hasDivision, Department of Biomedical Informatics]
-
A.
Department of Biomedical Informatics
The Department of Biomedical Informatics is an academic division specializing in the application of information science, data analysis, and computational methods to biomedical and clinical research within Osaka University's Graduate School of Medicine.
-
B.
Department of Medical Informatics
The Department of Medical Informatics is an academic division at Kobe University's Graduate School of Medicine that focuses on the research and education of information technologies and data management in healthcare and medical science.
-
C.
Department of Medical Informatics
The Department of Medical Informatics is an academic unit at the University of Tokyo’s Faculty of Medicine that focuses on the research and education of information technologies and data science in healthcare and medical practice.
-
D.
Department of Medical Informatics
The Department of Medical Informatics is an academic unit at Tohoku University's Faculty of Medicine that focuses on the application of information science and technology to healthcare, clinical practice, and biomedical research.
-
E.
Department of Computational Biology and Medical Sciences
The Department of Computational Biology and Medical Sciences is an academic unit specializing in the integration of computational methods with biological and medical research to advance understanding of complex life and health systems.
- 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 Biomedical Informatics Triple: [Vanderbilt University School of Medicine, hasDivision, Department of Biomedical Informatics]
Generated description
The Department of Biomedical Informatics is an academic unit specializing in the research and education of computational and data-driven methods to advance biomedical science and healthcare.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Biomedical Informatics Target entity description: The Department of Biomedical Informatics is an academic unit specializing in the research and education of computational and data-driven methods to advance biomedical science and healthcare.
-
A.
Department of Biomedical Informatics
chosen
The Department of Biomedical Informatics is an academic division specializing in the application of information science, data analysis, and computational methods to biomedical and clinical research within Osaka University's Graduate School of Medicine.
-
B.
Department of Medical Informatics
The Department of Medical Informatics is an academic division at Kobe University's Graduate School of Medicine that focuses on the research and education of information technologies and data management in healthcare and medical science.
-
C.
Department of Medical Informatics
The Department of Medical Informatics is an academic unit at the University of Tokyo’s Faculty of Medicine that focuses on the research and education of information technologies and data science in healthcare and medical practice.
-
D.
Department of Medical Informatics
The Department of Medical Informatics is an academic unit at Tohoku University's Faculty of Medicine that focuses on the application of information science and technology to healthcare, clinical practice, and biomedical research.
-
E.
Department of Computational Biology and Medical Sciences
The Department of Computational Biology and Medical Sciences is an academic unit specializing in the integration of computational methods with biological and medical research to advance understanding of complex life and health systems.
- F. None of above.
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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7fc389d4c81909515a5c8b0099c36 |
completed | April 9, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58c672da48190affacc0f19ef0c7a |
completed | April 20, 2026, 2:16 a.m. |
| NEDg | Description generation | batch_69e59774e6648190a38b2515a83c2e0c |
completed | April 20, 2026, 3:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5a3abf24481908fb71f4ef6b13532 |
completed | April 20, 2026, 3:55 a.m. |
Created at: April 8, 2026, 9:34 p.m.