Triple
T18771415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barnard 33 |
E459023
|
entity |
| Predicate | hasColorInImages |
P85337
|
FINISHED |
| Object | dark silhouette against red emission background |
—
|
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: dark silhouette against red emission background | Statement: [Barnard 33, hasColorInImages, dark silhouette against red emission background]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColorInImages Context triple: [Barnard 33, hasColorInImages, dark silhouette against red emission background]
-
A.
hasColorImagery
Indicates that something includes or is characterized by visual elements emphasizing specific colors or color-based symbolism.
-
B.
containsColor
chosen
Indicates that one entity includes or exhibits the color specified by another entity.
-
C.
isColor
Indicates that one entity represents the color attribute or hue of another entity.
-
D.
hasNumberOfColors
Indicates the quantity of distinct colors associated with an entity.
-
E.
hasColorInfo
Indicates that an entity is associated with specific color-related information or attributes.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e59335a01881908731371be1e27a6b |
completed | April 20, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69e48d0b7b708190877951b6e6cdcbc4 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:52 a.m.