Triple
T13078544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ArtScience |
E329640
|
entity |
| Predicate | featuresContemporarySoul |
P68739
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [ArtScience, featuresContemporarySoul, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresContemporarySoul Context triple: [ArtScience, featuresContemporarySoul, true]
-
A.
hasSoulfulProduction
chosen
Indicates that something (typically a piece of music) features production characterized by emotional depth, warmth, and stylistic elements associated with soul music.
-
B.
contemporaryFunction
Indicates that one entity serves a role or performs a function during the same time period as another entity.
-
C.
contemporary
Indicates that two entities exist, occur, or are active during the same time period or historical era.
-
D.
featuresSongwriter
Indicates that a musical work includes or credits a particular person as its songwriter.
-
E.
contemporaryTendency
Indicates that one entity reflects, aligns with, or exemplifies a prevailing trend, style, or tendency of the same time period as 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d9811828448190ac6ddd3e9c221251 |
completed | April 10, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69d9803d46688190bac6b7d208f08d01 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:01 p.m.