Triple
T25944888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Destination Moon |
E653812
|
entity |
| Predicate | visualStyleInfluencedBy |
P127058
|
FINISHED |
| Object | space art of Chesley Bonestell |
—
|
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: space art of Chesley Bonestell | Statement: [Destination Moon, visualStyleInfluencedBy, space art of Chesley Bonestell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visualStyleInfluencedBy Context triple: [Destination Moon, visualStyleInfluencedBy, space art of Chesley Bonestell]
-
A.
visualDesignInspiredBy
chosen
Indicates that the visual design of one entity is influenced, modeled, or derived from the visual style or appearance of another entity.
-
B.
styleTendsTo
Indicates that one style is generally inclined or likely to develop, appear, or be adopted in the direction of another style.
-
C.
inTheStyleOf
Indicates that one entity is created, performed, or presented in a manner that imitates or closely resembles the characteristic style of another entity.
-
D.
structuralStyle
Indicates the architectural or design style that characterizes the structure or form of an entity.
-
E.
styleVariants
Indicates that an entity has alternative stylistic forms or versions related to it.
- 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_69e7ab3fd2f881908837305e4ba98011 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f60462fad88190be275c21dabc791c |
completed | May 2, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 22, 2026, 8:41 a.m.