Triple
T36682440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Just a Little Lovin' (Will Go a Long Way) |
E905719
|
entity |
| Predicate | musicGenreOfRecording |
P164195
|
FINISHED |
| Object | soul |
—
|
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: soul | Statement: [Just a Little Lovin' (Will Go a Long Way), musicGenreOfRecording, soul]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicGenreOfRecording Context triple: [Just a Little Lovin' (Will Go a Long Way), musicGenreOfRecording, soul]
-
A.
genreOfRecordedWork
chosen
Indicates that a recorded work (such as a song, album, or audio piece) belongs to a particular artistic or musical genre.
-
B.
musicBrainzGenre
Indicates that one entity is associated with a musical genre classification as defined in the MusicBrainz database.
-
C.
musicBrainzType
Indicates the specific MusicBrainz-defined category or classification assigned to an entity within the MusicBrainz database.
-
D.
musicGenreCategory
Indicates that one entity is a broader music genre category under which the other music genre is classified.
-
E.
genreOfAssociatedMusic
Indicates the type or category of music that is associated with a given entity.
- 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_69f76e7011dc819082b324f18b756a1b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe38be079c8190a240191ac0e73e3a |
completed | May 8, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69fe350344508190930de2218156ca02 |
completed | May 8, 2026, 7:09 p.m. |
Created at: May 3, 2026, 4:12 p.m.