Triple
T11407755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cross of Snow |
E270282
|
entity |
| Predicate | containsImageOf |
P68797
|
FINISHED |
| Object | a halo of pale light around a portrait |
—
|
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: a halo of pale light around a portrait | Statement: [The Cross of Snow, containsImageOf, a halo of pale light around a portrait]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsImageOf Context triple: [The Cross of Snow, containsImageOf, a halo of pale light around a portrait]
-
A.
containsImage
chosen
Indicates that one entity includes or embeds an image as part of its content or structure.
-
B.
imageOf
Indicates that one entity is a visual representation or depiction of another entity.
-
C.
imageDepictedIn
Indicates that a particular image is shown, represented, or included within another resource or context.
-
D.
imagedIn
Indicates that one entity appears within or is depicted in an image associated with another entity.
-
E.
evokesImageOf
Indicates that one entity triggers or brings to mind a mental image or visual representation of another 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8014e72748190a01bde2f0105cedb |
completed | April 9, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69d7e70ffd708190b62a78ebcbce9f78 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:34 p.m.