Triple
T28888934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ME! |
E732641
|
entity |
| Predicate | notableVisualElement |
P176750
|
FINISHED |
| Object | pastel color palette |
—
|
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: pastel color palette | Statement: [ME!, notableVisualElement, pastel color palette]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableVisualElement Context triple: [ME!, notableVisualElement, pastel color palette]
-
A.
notableElement
Indicates that an entity has a component, feature, or part that is especially significant, prominent, or noteworthy in relation to it.
-
B.
notableDisplay
Indicates that something is prominently or distinctively presented in a way that draws special attention or recognition.
-
C.
notableRendering
Indicates that one entity is a significant or well-known visual or artistic depiction of another entity.
-
D.
knownForVisualElement
chosen
Indicates that an entity is recognized or notable specifically for a particular visual feature, style, or design element.
-
E.
notableNode
Indicates that a particular node is distinguished or significant within a structure, graph, or dataset compared to other nodes.
- 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_69f05b07bdec819080cadfe147aa1f25 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_6a01a534a8908190aa888d6be5deb824 |
completed | May 11, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_6a01a507c1f081909ff6abc5575db0bb |
completed | May 11, 2026, 9:44 a.m. |
Created at: April 28, 2026, 7:53 a.m.