Triple
T6976583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good Charlotte |
E161729
|
entity |
| Predicate | hasMusicBrainzID |
P36778
|
FINISHED |
| Object | b3ae82c0-3c1c-4b1f-9f2b-0f5f5c2c5e9b |
—
|
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: b3ae82c0-3c1c-4b1f-9f2b-0f5f5c2c5e9b | Statement: [Good Charlotte, hasMusicBrainzID, b3ae82c0-3c1c-4b1f-9f2b-0f5f5c2c5e9b]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicBrainzID Context triple: [Good Charlotte, hasMusicBrainzID, b3ae82c0-3c1c-4b1f-9f2b-0f5f5c2c5e9b]
-
A.
musicBrainzID
chosen
Indicates that an entity is associated with a specific identifier in the MusicBrainz database that uniquely references it.
-
B.
discogsID
Indicates that an entity is associated with a specific identifier used by the Discogs music database to reference it uniquely.
-
C.
hasISRC
Indicates that a musical recording is associated with a specific International Standard Recording Code (ISRC) that uniquely identifies it.
-
D.
musicBrainzArtist
Indicates a relationship where an entity is associated with a specific artist entry in the MusicBrainz database.
-
E.
hasMetacriticId
Indicates that an entity is associated with a specific identifier used by Metacritic to reference it in their database.
- 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_69c68854a0d88190bc0bf82263f1afce |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db677bbc8190a084b6951e5c3182 |
completed | March 27, 2026, 7:32 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c262508190a7708b3d9cf23d7c |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:31 p.m.