Triple
T23241387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kisha |
E581456
|
entity |
| Predicate | featuresArtistOrigin |
P122162
|
FINISHED |
| Object | New Orleans hip hop scene |
—
|
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: New Orleans hip hop scene | Statement: [Kisha, featuresArtistOrigin, New Orleans hip hop scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresArtistOrigin Context triple: [Kisha, featuresArtistOrigin, New Orleans hip hop scene]
-
A.
typicalArtistOrigin
Indicates that an artist is commonly or characteristically associated with originating from a particular place or region.
-
B.
featuredArtistNationality
Indicates the nationality associated with an artist who is prominently featured in a work or event.
-
C.
associated artist nationality
Indicates the country or nationality with which an artist connected to the subject is identified.
-
D.
featuresArtistFromRegion
chosen
Indicates that something includes or highlights an artist whose origin or affiliation is with a specified geographic region.
-
E.
performerOrigin
Indicates that a performer originates from, or is associated with, a particular place or region.
- 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_69e2460556f88190be1744a84a84173f |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192edd974819093a57456e7b12a03 |
completed | April 29, 2026, 5:11 a.m. |
| PD | Predicate disambiguation | batch_69effcdadec0819092ec1749ee453b4e |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:10 p.m.