Triple
T3997783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wake Up |
E87138
|
entity |
| Predicate | musicGenreCharacteristic |
P33180
|
FINISHED |
| Object | contemporary R&B |
—
|
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: contemporary R&B | Statement: [Wake Up, musicGenreCharacteristic, contemporary R&B]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicGenreCharacteristic Context triple: [Wake Up, musicGenreCharacteristic, contemporary R&B]
-
A.
hasMusicalStyleCharacteristic
Indicates that something possesses or exhibits a particular musical style as a defining characteristic.
-
B.
musicalAttribute
Indicates a relationship where a musical work, performance, or element is characterized by a specific musical property or quality (such as tempo, key, style, or mood).
-
C.
notableSongCharacteristic
Indicates that a song is distinguished by a particular notable feature or quality, such as style, structure, or performance trait.
-
D.
genreRecognized
Indicates that a particular genre has been identified or acknowledged as applicable to an entity.
-
E.
styleOfMusic
chosen
Indicates the musical genre or stylistic category that characterizes a piece of music, artist, or performance.
- 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_69aed94118148190975e6aa4e554cde9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa8579288190940487ad07e38de0 |
completed | March 9, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69aef8f89f2881909b0965419d15d46c |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:34 p.m.