Triple
T8349475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Statistical Association |
E196122
|
entity |
| Predicate | publishes |
P80
|
FINISHED |
| Object |
Statistics in Biopharmaceutical Research
Statistics in Biopharmaceutical Research is a peer-reviewed journal focusing on the development and application of statistical methods in pharmaceutical, biotechnology, and medical product research.
|
E728774
|
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: Statistics in Biopharmaceutical Research | Statement: [American Statistical Association, publishes, Statistics in Biopharmaceutical Research]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Statistics in Biopharmaceutical Research Context triple: [American Statistical Association, publishes, Statistics in Biopharmaceutical Research]
-
A.
ICH S6 Preclinical Safety Evaluation of Biotechnology-Derived Pharmaceuticals
ICH S6 Preclinical Safety Evaluation of Biotechnology-Derived Pharmaceuticals is an international guideline that outlines the nonclinical safety testing requirements for biotechnological products such as therapeutic proteins and monoclonal antibodies to support their clinical development and marketing authorization.
-
B.
WHO Collaborating Centre for Drug Statistics Methodology
The WHO Collaborating Centre for Drug Statistics Methodology is a specialized World Health Organization center responsible for developing and maintaining international standards for drug classification and consumption statistics, including the ATC/DDD system.
-
C.
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.
-
D.
ICH M3(R2) Nonclinical Safety Studies for the Conduct of Human Clinical Trials and Marketing Authorization for Pharmaceuticals
ICH M3(R2) is an international guideline that harmonizes requirements for nonclinical safety studies needed to support the initiation and progression of human clinical trials and the marketing authorization of pharmaceuticals.
-
E.
Pharmacovigilance Risk Assessment Committee within the European Medicines Agency
The Pharmacovigilance Risk Assessment Committee within the European Medicines Agency is an expert body responsible for evaluating and monitoring the safety of medicines across the European Union and providing recommendations on managing and communicating medicine-related risks.
- 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: Statistics in Biopharmaceutical Research Triple: [American Statistical Association, publishes, Statistics in Biopharmaceutical Research]
Generated description
Statistics in Biopharmaceutical Research is a peer-reviewed journal focusing on the development and application of statistical methods in pharmaceutical, biotechnology, and medical product research.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Statistics in Biopharmaceutical Research Target entity description: Statistics in Biopharmaceutical Research is a peer-reviewed journal focusing on the development and application of statistical methods in pharmaceutical, biotechnology, and medical product research.
-
A.
ICH S6 Preclinical Safety Evaluation of Biotechnology-Derived Pharmaceuticals
ICH S6 Preclinical Safety Evaluation of Biotechnology-Derived Pharmaceuticals is an international guideline that outlines the nonclinical safety testing requirements for biotechnological products such as therapeutic proteins and monoclonal antibodies to support their clinical development and marketing authorization.
-
B.
WHO Collaborating Centre for Drug Statistics Methodology
The WHO Collaborating Centre for Drug Statistics Methodology is a specialized World Health Organization center responsible for developing and maintaining international standards for drug classification and consumption statistics, including the ATC/DDD system.
-
C.
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.
-
D.
ICH M3(R2) Nonclinical Safety Studies for the Conduct of Human Clinical Trials and Marketing Authorization for Pharmaceuticals
ICH M3(R2) is an international guideline that harmonizes requirements for nonclinical safety studies needed to support the initiation and progression of human clinical trials and the marketing authorization of pharmaceuticals.
-
E.
Pharmacovigilance Risk Assessment Committee within the European Medicines Agency
The Pharmacovigilance Risk Assessment Committee within the European Medicines Agency is an expert body responsible for evaluating and monitoring the safety of medicines across the European Union and providing recommendations on managing and communicating medicine-related risks.
- 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_69ca82edd63c8190b876b8465464c5fa |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb8016c4188190a5ff93078e74dc39 |
completed | March 31, 2026, 8:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc74e11f881908b52d0ffea751c96 |
completed | April 2, 2026, 1:33 a.m. |
| NEDg | Description generation | batch_69cdcc8596888190867bb0f298b6fac1 |
completed | April 2, 2026, 1:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdd14de9408190a5522fbdbef4d748 |
completed | April 2, 2026, 2:15 a.m. |
Created at: March 30, 2026, 5:59 p.m.