Triple
T17270313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mista Grimm |
E419237
|
entity |
| Predicate | artisticNameOf |
P32318
|
FINISHED |
| Object | American male rapper |
—
|
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: American male rapper | Statement: [Mista Grimm, artisticNameOf, American male rapper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artisticNameOf Context triple: [Mista Grimm, artisticNameOf, American male rapper]
-
A.
artisticName
chosen
Indicates that one entity is the stage or artistic name used by another entity.
-
B.
artworkNickname
Indicates that an artwork is known by a particular nickname or informal alternative title.
-
C.
artisticIdentity
Indicates the relationship between an entity and the artistic persona, style, or creative role that characterizes how it is recognized or expresses itself in an artistic context.
-
D.
artistOfPublicArt
Indicates that one entity is the artist or creator responsible for a particular piece of public art.
-
E.
artisticStyle
Indicates the artistic movement, style, or aesthetic approach that characterizes how something is created or visually expressed.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42f4917ec819096356ad2ed24d51d |
completed | April 19, 2026, 1:26 a.m. |
| PD | Predicate disambiguation | batch_69e3832c3b98819091967ac7e91ba316 |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:40 a.m.