Triple
T4440446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Make America Great Again |
E95757
|
entity |
| Predicate | visualSymbol |
P129
|
FINISHED |
| Object | red baseball cap |
—
|
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: red baseball cap | Statement: [Make America Great Again, visualSymbol, red baseball cap]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visualSymbol Context triple: [Make America Great Again, visualSymbol, red baseball cap]
-
A.
visualElements
Indicates that one entity contains, uses, or is characterized by specific visual components or graphical features associated with another entity.
-
B.
visionOrSign
Indicates a relationship where something is perceived or presented as a vision, sign, or symbolic manifestation, often conveying a message, omen, or divine indication.
-
C.
symbolizes
chosen
Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
-
D.
iconographicForm
Indicates the specific visual or symbolic representation that an entity takes within an image or artwork.
-
E.
visualForm
Indicates the visual appearance, shape, or structural pattern that characterizes how something looks.
- 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_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. |
Created at: March 12, 2026, 11:32 p.m.