Triple
T5577821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rainbow (Mariah Carey album cover) |
E146364
|
entity |
| Predicate | imageElement |
P29429
|
FINISHED |
| Object | painted rainbow behind Mariah Carey |
—
|
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: painted rainbow behind Mariah Carey | Statement: [Rainbow (Mariah Carey album cover), imageElement, painted rainbow behind Mariah Carey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imageElement Context triple: [Rainbow (Mariah Carey album cover), imageElement, painted rainbow behind Mariah Carey]
-
A.
imageFile
Indicates that an entity is associated with, stored as, or represented by a particular image file.
-
B.
imagedIn
Indicates that one entity appears within or is depicted in an image associated with another entity.
-
C.
evokesImageOf
Indicates that one entity triggers or brings to mind a mental image or visual representation of another entity.
-
D.
visualElements
chosen
Indicates that one entity contains, uses, or is characterized by specific visual components or graphical features associated with another entity.
-
E.
imagedBy
Indicates that something is captured, recorded, or represented in an image created by a particular imaging device, method, or agent.
- 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_69c008ffed108190a084602227af6157 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0206ae4808190971d89243db94475 |
completed | March 22, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69c01b147cc081909237f3f2967d4cb8 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:37 p.m.