Triple
T25794163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stand Back |
E649632
|
entity |
| Predicate | musicGenreInfluencedBy |
P20936
|
FINISHED |
| Object | Chicago blues |
E26839
|
NE 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: Chicago blues | Statement: [Stand Back, musicGenreInfluencedBy, Chicago blues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicGenreInfluencedBy Context triple: [Stand Back, musicGenreInfluencedBy, Chicago blues]
-
A.
hasGenreInfluenceOn
Indicates that one genre has a notable impact on shaping or influencing the characteristics, style, or development of another genre.
-
B.
influencedByGenre
chosen
Indicates that something’s characteristics, style, or development are shaped or affected by a particular genre.
-
C.
influencesMusicOf
Indicates that one entity has an effect on, shapes, or contributes to the musical style, content, or development of another entity.
-
D.
musicBrainzGenre
Indicates that one entity is associated with a musical genre classification as defined in the MusicBrainz database.
-
E.
hasMusicalStyleSimilarTo
Indicates that two entities share a comparable or closely related musical style or sound.
- F. None of above.
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_69e7ab34f8c8819099f6c4dabdabf129 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a10cc14f68881908bf072f298d3063e |
completed | May 22, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
Created at: April 22, 2026, 6:27 a.m.