Triple
T28903940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Got Milk? advertising campaign |
E733023
|
entity |
| Predicate | creatorAgency |
P186361
|
FINISHED |
| Object | Goodby Silverstein & Partners |
—
|
NE NERFINISHED |
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: Goodby Silverstein & Partners | Statement: [Got Milk? advertising campaign, creatorAgency, Goodby Silverstein & Partners]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creatorAgency Context triple: [Got Milk? advertising campaign, creatorAgency, Goodby Silverstein & Partners]
-
A.
createdAgency
Indicates that one entity brought an agency into existence, establishing it as a new organizational or institutional body.
-
B.
affiliationOfCreator
Indicates that a creator (such as a person or organization) is formally associated with or belongs to a particular institution, group, or organization.
-
C.
creatorStudioName
chosen
Indicates the name of the studio or production entity responsible for creating the associated work or content.
-
D.
creatorOrganizationType
Indicates the type or category of organization that created or is responsible for the entity.
-
E.
creatorType
Indicates the role or category of a creator in relation to the creation of something (e.g., author, artist, director).
- 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_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
Created at: April 28, 2026, 8:05 a.m.