Triple
T28672197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America Runs on Dunkin' |
E725754
|
entity |
| Predicate | portraysBrandAs |
P78443
|
FINISHED |
| Object | daily necessity |
—
|
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: daily necessity | Statement: [America Runs on Dunkin', portraysBrandAs, daily necessity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysBrandAs Context triple: [America Runs on Dunkin', portraysBrandAs, daily necessity]
-
A.
portraysProduct
Indicates that one entity visually or narratively represents, depicts, or features a particular product.
-
B.
portraysPersonAs
Indicates that one entity represents, depicts, or characterizes another person in a particular way or role.
-
C.
portrayedAsFrom
Indicates that one entity is depicted or represented as originating from, or belonging to, the place or source specified by another entity.
-
D.
brandRepresents
chosen
Indicates that a brand stands for, symbolizes, or conveys the identity, values, or characteristics of something.
-
E.
formedBrand
Indicates that an entity created or established a particular brand as a distinct commercial or organizational identity.
- 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_69f01d85be388190b669a0e401e2f2c4 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fbaebc8f2c8190b94f1b4a3ec92e8c |
completed | May 6, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
Created at: April 28, 2026, 5:04 a.m.