Triple
T33269000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl Olov Fagerström |
E851727
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | tobacco-dependence researcher |
C58239
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: tobacco-dependence researcher Context triple: [Karl Olov Fagerström, instanceOf, tobacco-dependence researcher]
-
A.
drug abuse research initiative
A drug abuse research initiative is a coordinated program that systematically investigates the causes, consequences, prevention, and treatment of substance misuse to inform evidence-based policies and interventions.
-
B.
nicotine replacement therapy company
A nicotine replacement therapy company develops, manufactures, and markets products such as patches, gums, lozenges, and inhalers designed to help individuals reduce or quit smoking by providing controlled doses of nicotine without the harmful components of tobacco smoke.
-
C.
tobacco control initiative
A tobacco control initiative is a coordinated set of policies, programs, and interventions designed to reduce tobacco use, prevent initiation, and minimize health and social harms associated with tobacco products.
-
D.
tobacco control measure
A tobacco control measure is a policy, regulation, or intervention designed to reduce tobacco use, exposure to tobacco smoke, and the associated health and social harms.
-
E.
tobacco industry
The tobacco industry is the global network of companies and organizations involved in the cultivation, manufacture, marketing, and sale of tobacco products, often amid significant public health, regulatory, and ethical controversies.
- F. None of above. chosen
Provenance (1 batch)
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_69f349642dac81908a37ffcc3b976a55 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:32 a.m.