Triple
T30080418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hook Up |
E764438
|
entity |
| Predicate | belongsToMusicGenreCategory |
P124610
|
FINISHED |
| Object | pop songs |
—
|
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: pop songs | Statement: [The Hook Up, belongsToMusicGenreCategory, pop songs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToMusicGenreCategory Context triple: [The Hook Up, belongsToMusicGenreCategory, pop songs]
-
A.
musicGenreCategory
Indicates that one entity is a broader music genre category under which the other music genre is classified.
-
B.
hasGenreRelation
chosen
Indicates that there is an association between an entity and a specific genre, specifying the type or category it belongs to.
-
C.
belongsToWorkGenre
Indicates that a creative work is classified under or associated with a particular genre.
-
D.
isPartOfArtistGenre
Indicates that an artist belongs to or is associated with a particular musical or artistic genre.
-
E.
hasMusicCategory
Indicates that something is associated with, classified under, or belongs to a particular category or type of music.
- 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_69f22472eee081909791dc372aa766e9 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fdd92396788190ae1424bc1ae55844 |
completed | May 8, 2026, 12:37 p.m. |
| PD | Predicate disambiguation | batch_69fdd678f40481909a717a2daec83b36 |
completed | May 8, 2026, 12:26 p.m. |
Created at: April 29, 2026, 7:02 p.m.