Triple
T12815185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don’t Say Nothin’ Bad (About My Baby) |
E306374
|
entity |
| Predicate | musicalArtistTypeOfPerformer |
P35860
|
FINISHED |
| Object | girl group |
—
|
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: girl group | Statement: [Don’t Say Nothin’ Bad (About My Baby), musicalArtistTypeOfPerformer, girl group]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalArtistTypeOfPerformer Context triple: [Don’t Say Nothin’ Bad (About My Baby), musicalArtistTypeOfPerformer, girl group]
-
A.
hasMusicalArtistType
chosen
Indicates that an entity has a specific role or classification as a type of musical artist (e.g., solo artist, band, composer).
-
B.
performerType
Indicates the role or category of performer responsible for carrying out an action or participating in an event.
-
C.
musicalArtistName
Indicates that the predicate specifies the name of a musical artist associated with an entity.
-
D.
musicalArtistMember
Indicates that one entity is a musical artist who is or was a member of another musical group or act.
-
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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e9beb30819097c256a5aab9a4c8 |
completed | April 10, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69d9640ed7448190b276e7fab649f7d2 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:31 p.m.