Triple
T26345737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSS filters |
E662772
|
entity |
| Predicate | affectsRenderingOf |
P37719
|
FINISHED |
| Object | element pixels |
—
|
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: element pixels | Statement: [CSS filters, affectsRenderingOf, element pixels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affectsRenderingOf Context triple: [CSS filters, affectsRenderingOf, element pixels]
-
A.
isRenderingOf
Indicates that one entity is a visual or graphical depiction or representation of another entity.
-
B.
areAffectedBy
Indicates that one entity experiences an effect, influence, or impact as a result of another entity or event.
-
C.
affectsDocument
Indicates that one entity produces an influence or change on a document, altering its state, content, or properties.
-
D.
alsoAffects
Indicates that an action, condition, or change impacting one entity additionally impacts another entity as well.
-
E.
effectOnRepresentation
chosen
Indicates how one entity influences, alters, or determines the form, quality, or characteristics of another entity’s representation.
- 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_69ee81304194819092e20e0fae3aee07 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 26, 2026, 10:42 p.m.