Triple
T27951729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Yer Face |
E703441
|
entity |
| Predicate | musicGroupTypeOfArtist |
P138232
|
FINISHED |
| Object | electronic 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: electronic group | Statement: [In Yer Face, musicGroupTypeOfArtist, electronic group]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicGroupTypeOfArtist Context triple: [In Yer Face, musicGroupTypeOfArtist, electronic group]
-
A.
musicGroupType
chosen
Indicates the specific kind or category of a musical group, such as its style, formation, or organizational type.
-
B.
musicGroupGenre
Indicates the musical genre or style that a particular music group is associated with or performs.
-
C.
musicGroupCountry
Indicates the country with which a musical group is primarily associated, such as its origin or main base of activity.
-
D.
musicGroupFormedBy
Indicates that a musical group was created, established, or brought together by a specific person or entity.
-
E.
bandGenreOfArtist
Indicates that a particular musical genre is associated with, or characterizes the style of, a given band or musical artist.
- 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_69ef840c8b2c8190946ae9522774ba51 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 27, 2026, 7:25 p.m.