Triple
T17569614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trig Palin |
E427900
|
entity |
| Predicate | publicImageAspect |
P13872
|
FINISHED |
| Object | disability rights discussions in U.S. politics |
—
|
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: disability rights discussions in U.S. politics | Statement: [Trig Palin, publicImageAspect, disability rights discussions in U.S. politics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicImageAspect Context triple: [Trig Palin, publicImageAspect, disability rights discussions in U.S. politics]
-
A.
publicImage
chosen
Indicates how an entity is perceived or represented by the general public or broader audience.
-
B.
mediaAspect
Indicates the specific aspect ratio or dimensional proportion of a media item in relation to its width and height.
-
C.
aspectRatio
Indicates the proportional relationship between an entity’s width and its height.
-
D.
typicalAspect
Indicates that something represents a characteristic or commonly occurring aspect of another thing or situation.
-
E.
principalImageType
Indicates the primary or most representative type of image associated with an 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4592fe8408190bd8fed1920ab3601 |
completed | April 19, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fd7d048190b54ee4c6155612a5 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:50 a.m.