Triple
T25641266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "You've come a long way, baby" campaign |
E642841
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | tobacco marketing campaign |
C9602
|
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 marketing campaign Context triple: ["You've come a long way, baby" campaign, instanceOf, tobacco marketing campaign]
-
A.
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.
-
B.
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.
-
C.
tobacco product brand
chosen
A tobacco product brand is a distinct commercial identity under which tobacco-related goods, such as cigarettes, cigars, or smokeless tobacco, are marketed and sold to consumers.
-
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.
cigarette brand
A cigarette brand is a named product line of manufactured tobacco cigarettes distinguished by its specific blend, design, marketing, and target consumer segment.
- F. None of above.
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_69e77e7ce28081908b08d65ee6e5c8be |
completed | April 21, 2026, 1:41 p.m. |
Created at: April 21, 2026, 5:43 p.m.