Triple
T16441293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Silver |
E399307
|
entity |
| Predicate | genreOfMusicAssociatedWith |
P41449
|
FINISHED |
| Object | dance music |
—
|
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: dance music | Statement: [David Silver, genreOfMusicAssociatedWith, dance music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfMusicAssociatedWith Context triple: [David Silver, genreOfMusicAssociatedWith, dance music]
-
A.
genreAssociatedWith
Indicates a relationship where a work, item, or entity is linked to or categorized under a particular genre.
-
B.
genreOfAssociatedPerson
chosen
Indicates that a particular genre is associated with a given person, such as an artist, author, or performer.
-
C.
styleOfMusic
Indicates the musical genre or stylistic category that characterizes a piece of music, artist, or performance.
-
D.
knownForMusicGenre
Indicates that an entity is recognized or notable for producing, performing, or being associated with a particular music genre.
-
E.
musicGenreCategory
Indicates that one entity is a broader music genre category under which the other music genre is classified.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba91dc48190bc35db60f63d36d3 |
completed | April 18, 2026, 6:58 a.m. |
| PD | Predicate disambiguation | batch_69e22701d2288190bf8676050758f172 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:10 a.m.