Triple
T11389513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanderbilt University School of Medicine |
E269796
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object |
Department of Biostatistics
The Department of Biostatistics at Vanderbilt University School of Medicine is an academic unit specializing in the development and application of statistical methods for biomedical and health sciences research.
|
E923467
|
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 Biostatistics | Statement: [Vanderbilt University School of Medicine, hasDivision, Department of Biostatistics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Biostatistics Context triple: [Vanderbilt University School of Medicine, hasDivision, Department of Biostatistics]
-
A.
Department of Biostatistics
The Department of Biostatistics at Columbia University's Mailman School of Public Health is an academic unit specializing in the development and application of statistical methods to public health and biomedical research.
-
B.
Department of Biostatistics
The Department of Biostatistics at the University of Iowa College of Public Health is an academic unit specializing in the development and application of statistical methods to biomedical and public health research.
-
C.
Department of Biostatistics
The Department of Biostatistics at the Harvard T.H. Chan School of Public Health is a leading academic center for developing and applying statistical methods to advance biomedical, public health, and quantitative science research.
-
D.
Office of Biostatistics
The Office of Biostatistics is a specialized FDA unit that provides statistical expertise and evaluation for drug development and regulatory decision-making.
-
E.
Department of Epidemiology and Biostatistics
The Department of Epidemiology and Biostatistics is an academic unit specializing in the study of disease patterns, health determinants, and the statistical methods used to analyze public health and medical data.
- 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 Biostatistics Triple: [Vanderbilt University School of Medicine, hasDivision, Department of Biostatistics]
Generated description
The Department of Biostatistics at Vanderbilt University School of Medicine is an academic unit specializing in the development and application of statistical methods for biomedical and health sciences research.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Biostatistics Target entity description: The Department of Biostatistics at Vanderbilt University School of Medicine is an academic unit specializing in the development and application of statistical methods for biomedical and health sciences research.
-
A.
Department of Biostatistics
The Department of Biostatistics at the Harvard T.H. Chan School of Public Health is a leading academic center for developing and applying statistical methods to advance biomedical, public health, and quantitative science research.
-
B.
Department of Biostatistics
The Department of Biostatistics at the University of Iowa College of Public Health is an academic unit specializing in the development and application of statistical methods to biomedical and public health research.
-
C.
Department of Biostatistics
The Department of Biostatistics at Columbia University's Mailman School of Public Health is an academic unit specializing in the development and application of statistical methods to public health and biomedical research.
-
D.
Office of Biostatistics
The Office of Biostatistics is a specialized FDA unit that provides statistical expertise and evaluation for drug development and regulatory decision-making.
-
E.
Department of Epidemiology and Biostatistics
The Department of Epidemiology and Biostatistics is an academic unit specializing in the study of disease patterns, health determinants, and the statistical methods used to analyze public health and medical data.
- 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_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.