Triple
T33639673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Collard Greens |
E861796
|
entity |
| Predicate | hasUpbeatProduction |
P177456
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Collard Greens, hasUpbeatProduction, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUpbeatProduction Context triple: [Collard Greens, hasUpbeatProduction, yes]
-
A.
hasMelodicProduction
Indicates that one entity (typically a musical work or track) features a production style characterized by prominent, structured melodies.
-
B.
hasBassHeavyProduction
Indicates that the music’s production emphasizes low-frequency sounds, giving it a strong, prominent bass presence.
-
C.
hasSoulfulProduction
Indicates that something (typically a piece of music) features production characterized by emotional depth, warmth, and stylistic elements associated with soul music.
-
D.
hasElectronicBeat
Indicates that the associated music or audio features a rhythm or backing track produced using electronic instruments or digital sound processing.
-
E.
hasSynthProduction
Indicates that an entity is associated with or involved in the production of synthesized (synthetic) material, content, or output.
- 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_69f3498280c48190bcc3494017d14234 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb93224881908fc66fe76115fcdb |
completed | May 3, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fb17d5ec81909091e37e1ddbe577 |
completed | May 3, 2026, 7:36 a.m. |
Created at: May 1, 2026, 1:42 a.m.