Triple
T2470906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "That's All Folks!" |
E55369
|
entity |
| Predicate | visualPresentation |
P29429
|
FINISHED |
| Object | often displayed in stylized text on concentric circle background |
—
|
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: often displayed in stylized text on concentric circle background | Statement: ["That's All Folks!", visualPresentation, often displayed in stylized text on concentric circle background]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visualPresentation Context triple: ["That's All Folks!", visualPresentation, often displayed in stylized text on concentric circle background]
-
A.
visualElements
chosen
Indicates that one entity contains, uses, or is characterized by specific visual components or graphical features associated with another entity.
-
B.
visualForm
Indicates the visual appearance, shape, or structural pattern that characterizes how something looks.
-
C.
displays
Indicates that one entity visually presents or shows another entity’s content or information.
-
D.
displayType
Indicates the manner or format in which something is presented, shown, or rendered.
-
E.
displayMode
Indicates how content or information is visually presented or arranged to the user.
- 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_69ab49e3622c8190ad22afa2c4fbb807 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd1eb3be481908fa7c6b8f1c78209 |
completed | March 7, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69abd0b5e3d481909a5cbc4a96edd24f |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:44 p.m.