Triple
T35274522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glow |
E1018760
|
entity |
| Predicate | hasMellowProduction |
P199275
|
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: [Glow, hasMellowProduction, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMellowProduction Context triple: [Glow, hasMellowProduction, true]
-
A.
hasMelodicProduction
Indicates that one entity (typically a musical work or track) features a production style characterized by prominent, structured melodies.
-
B.
hasSoulfulProduction
Indicates that something (typically a piece of music) features production characterized by emotional depth, warmth, and stylistic elements associated with soul music.
-
C.
hasSynthProduction
Indicates that an entity is associated with or involved in the production of synthesized (synthetic) material, content, or output.
-
D.
hasProduction
Indicates that an entity is associated with, or responsible for, the creation or manufacture of another entity or product.
-
E.
hasRemixProducer
Indicates that one entity serves as the producer responsible for creating a remix version of another entity (typically a musical work).
- 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_69f76de5c4788190896ad598ae7d6bc6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff29d831b881908d485609e0fc1d0b |
completed | May 9, 2026, 12:34 p.m. |
| PD | Predicate disambiguation | batch_69ff28f9f9e4819087f3402735de66c7 |
completed | May 9, 2026, 12:30 p.m. |
| PDg | Predicate description generation | batch_69ff29d77f48819085304ed5e92eb906 |
completed | May 9, 2026, 12:34 p.m. |
Created at: May 3, 2026, 4:02 p.m.