Triple
T28903968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Got Milk? advertising campaign |
E733023
|
entity |
| Predicate | advertisingCategory |
P125237
|
FINISHED |
| Object | public-interest style commodity advertising |
—
|
LITERAL FINISHED |
How this triple was built (2 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: public-interest style commodity advertising | Statement: [Got Milk? advertising campaign, advertisingCategory, public-interest style commodity advertising]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: advertisingCategory Context triple: [Got Milk? advertising campaign, advertisingCategory, public-interest style commodity advertising]
-
A.
adType
chosen
Indicates the classification or category of an advertisement associated with an entity or event.
-
B.
sloganCategory
Indicates that a slogan is classified as belonging to a particular category or type.
-
C.
advertisingPractice
Indicates a relationship where an entity engages in or is associated with the activity, methods, or strategies of advertising.
-
D.
apparentCategory
Indicates the category or type that something seems to belong to based on its observable characteristics, regardless of its true or underlying classification.
-
E.
sponsorCategoryName
Indicates the classification label or category assigned to a sponsor in a given context.
- F. None of above.
Provenance (3 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_69f05b096d208190958a57d2e4b5a93a |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65ad948748190abe57197575a19dc |
completed | May 2, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69f6576487e081908d802f1caf59c423 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 8:05 a.m.