Triple
T14306142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linda Clifford |
E354700
|
entity |
| Predicate | musicBrainzArtistId |
P36778
|
FINISHED |
| Object | b3a4a4a0-3a0b-4a0a-9a4b-3a0a4b4c4d4e |
—
|
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: b3a4a4a0-3a0b-4a0a-9a4b-3a0a4b4c4d4e | Statement: [Linda Clifford, musicBrainzArtistId, b3a4a4a0-3a0b-4a0a-9a4b-3a0a4b4c4d4e]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicBrainzArtistId Context triple: [Linda Clifford, musicBrainzArtistId, b3a4a4a0-3a0b-4a0a-9a4b-3a0a4b4c4d4e]
-
A.
musicBrainzArtist
Indicates a relationship where an entity is associated with a specific artist entry in the MusicBrainz database.
-
B.
musicBrainzID
chosen
Indicates that an entity is associated with a specific identifier in the MusicBrainz database that uniquely references it.
-
C.
allMusicID
Indicates a unique identifier that associates an entity with a specific music item or record in a music-related dataset or system.
-
D.
discogsID
Indicates that an entity is associated with a specific identifier used by the Discogs music database to reference it uniquely.
-
E.
musicalArtistAssociated
Indicates a relationship where one musical artist is professionally connected or affiliated with another, such as through collaboration, membership, or frequent association.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85b156b0819083f2bd319deed1b6 |
completed | April 14, 2026, 6:21 p.m. |
| PD | Predicate disambiguation | batch_69de2a8f81f08190af737e1654847aa6 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:12 a.m.