Triple
T15377907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Evil Genius |
E367716
|
entity |
| Predicate | genrePosition |
P41449
|
FINISHED |
| Object | prominent British grime artist |
—
|
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: prominent British grime artist | Statement: [The Evil Genius, genrePosition, prominent British grime artist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genrePosition Context triple: [The Evil Genius, genrePosition, prominent British grime artist]
-
A.
discPosition
Indicates the spatial or ordinal placement of a disc relative to a reference point or within a set or structure.
-
B.
performerPosition
Indicates the spatial or role-based placement of a performer relative to a performance context or other participants.
-
C.
genreAsModel
Indicates that one entity serves as a genre-based template or stylistic model for another entity.
-
D.
genreSpecialty
Indicates that an entity specializes in or is particularly associated with a specific genre.
-
E.
genreOfAssociatedPerson
chosen
Indicates that a particular genre is associated with a given person, such as an artist, author, or performer.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e5ece1081908d7c1289258b9c1f |
completed | April 16, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69ded27742a881909cd73cc5c7d062fd |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:18 a.m.