Triple
T2257938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All I Want Is You |
E49769
|
entity |
| Predicate | musicBrainzID |
P36778
|
FINISHED |
| Object | b0a4a79a-0f0b-4a2b-9a4b-0f0f0f0f0f0f |
—
|
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: b0a4a79a-0f0b-4a2b-9a4b-0f0f0f0f0f0f | Statement: [All I Want Is You, musicBrainzID, b0a4a79a-0f0b-4a2b-9a4b-0f0f0f0f0f0f]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicBrainzID Context triple: [All I Want Is You, musicBrainzID, b0a4a79a-0f0b-4a2b-9a4b-0f0f0f0f0f0f]
-
A.
musicBrainzArtist
Indicates a relationship where an entity is associated with a specific artist entry in the MusicBrainz database.
-
B.
musicBrainzType
Indicates the specific MusicBrainz-defined category or classification assigned to an entity within the MusicBrainz database.
-
C.
associatedMusic
Indicates a relationship where one entity is linked to or connected with a piece of music, such as being used by, related to, or thematically tied to that music.
-
D.
musicalArtistOnTrack
Indicates that a musical artist performed on, contributed to, or is otherwise credited for a specific track.
-
E.
albumGenre
Indicates that a musical album belongs to or is categorized under a particular genre.
- 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_69a88aaa9250819095e127d0d77e8a32 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc15839fc8190b17e040c4c765a8c |
completed | March 7, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69abbdb34c148190b51e99f540f97204 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbe86dbcc81908c72793af8fe2a4d |
completed | March 7, 2026, 5:58 a.m. |
Created at: March 4, 2026, 7:48 p.m.