Triple
T10329767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acid2 |
E242844
|
entity |
| Predicate | renderingResult |
P37806
|
FINISHED |
| Object | smiley face image when passed |
—
|
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: smiley face image when passed | Statement: [Acid2, renderingResult, smiley face image when passed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: renderingResult Context triple: [Acid2, renderingResult, smiley face image when passed]
-
A.
renders
chosen
Indicates that one entity produces, generates, or visually presents another entity, often by transforming data or instructions into a final displayed or usable form.
-
B.
renderingModel
Indicates the specific rendering engine or model used to generate the visual or graphical output for an entity.
-
C.
renderingMode
Indicates the specific way in which content or graphics are processed and displayed (e.g., style, technique, or pipeline used for rendering).
-
D.
renderedUnder
Indicates that one entity was produced, displayed, or executed within the authority, context, or environment provided by another entity.
-
E.
renderedBy
Indicates that something is produced, drawn, or visually generated by a particular agent, tool, or process.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cfd54c8190b6f88598339536d1 |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f760e88190abea6dcc4f04f2c1 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:52 a.m.