Triple
T37159538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coca-Cola "Hilltop" commercial |
E920606
|
entity |
| Predicate | portraysProductUse |
P151063
|
FINISHED |
| Object | drinking Coca-Cola together in a social setting |
—
|
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: drinking Coca-Cola together in a social setting | Statement: [Coca-Cola "Hilltop" commercial, portraysProductUse, drinking Coca-Cola together in a social setting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysProductUse Context triple: [Coca-Cola "Hilltop" commercial, portraysProductUse, drinking Coca-Cola together in a social setting]
-
A.
portraysProduct
chosen
Indicates that one entity visually or narratively represents, depicts, or features a particular product.
-
B.
usedForProduct
Indicates that one entity serves as a tool, component, or means specifically employed in the creation, operation, or delivery of another entity considered as a product.
-
C.
partOfUse
Indicates that something functions as a component or constituent within the use or application of something else.
-
D.
usesProduct
Indicates that one entity makes use of, applies, or employs a particular product.
-
E.
productsUsedIn
Indicates that certain products are utilized or applied within a particular process, context, or entity.
- 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_69f76ea0429081908c711b55599eac3c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff956dc6548190979171d4b4068d47 |
completed | May 9, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69ff93dc39c481908a97a12c3ef7dfe7 |
completed | May 9, 2026, 8:06 p.m. |
Created at: May 3, 2026, 4:15 p.m.