Triple
T17036509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashen |
E413332
|
entity |
| Predicate | visualTone |
P125598
|
FINISHED |
| Object | atmospheric |
—
|
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: atmospheric | Statement: [Ashen, visualTone, atmospheric]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visualTone Context triple: [Ashen, visualTone, atmospheric]
-
A.
tonalDesign
Indicates the relationship in which one entity defines, specifies, or embodies the tonal structure or tonal scheme used by another entity (such as a work, passage, or system).
-
B.
visualSimplicity
Indicates that something is characterized by a minimal, uncluttered, and easy-to-perceive visual appearance or design.
-
C.
musicVideoTone
Indicates the prevailing emotional or stylistic mood conveyed by a music video.
-
D.
trueTone
Indicates that something accurately reflects or expresses the genuine, intended, or authentic tone of a subject, message, or situation.
-
E.
visualCompanion
Indicates that one entity serves as a visual counterpart, partner, or accompanying element to another in a visual context.
- F. None of above. chosen
Provenance (4 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d8f26f50819085dfd0fbecd6394d |
completed | April 18, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69e35d5be7f48190af9db67a1e23850f |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e3753f93c88190808fec5692f66699 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:33 a.m.