Triple
T4440452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Make America Great Again |
E95757
|
entity |
| Predicate | counterSlogan |
P56517
|
FINISHED |
| Object | Make America Great Again, Again |
—
|
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: Make America Great Again, Again | Statement: [Make America Great Again, counterSlogan, Make America Great Again, Again]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: counterSlogan Context triple: [Make America Great Again, counterSlogan, Make America Great Again, Again]
-
A.
sloganGivenBy
Indicates that a particular slogan is provided, coined, or assigned by a specific entity.
-
B.
sloganUsedIn
Indicates that a particular slogan is employed or featured within a specific context, such as a campaign, advertisement, or organization.
-
C.
sloganCategory
Indicates that a slogan is classified as belonging to a particular category or type.
-
D.
sloganInEnglish
Indicates that an entity’s slogan is expressed in the English language.
-
E.
associatedWithFamousSlogan
Indicates that an entity is connected to, known for, or commonly linked with a particular famous slogan.
- F. None of above. chosen
Provenance (4 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355ac05e081908411089c05fc36bd |
completed | March 13, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69b34f62c180819097ced38da2052207 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b35034cd248190bae09e9d090e13ec |
completed | March 12, 2026, 11:45 p.m. |
Created at: March 12, 2026, 11:32 p.m.