Triple
T8426117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CL Smooth |
E198996
|
entity |
| Predicate | musicalInfluenceOn |
P13951
|
FINISHED |
| Object | later East Coast hip hop artists |
—
|
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: later East Coast hip hop artists | Statement: [CL Smooth, musicalInfluenceOn, later East Coast hip hop artists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalInfluenceOn Context triple: [CL Smooth, musicalInfluenceOn, later East Coast hip hop artists]
-
A.
influencedArtist
chosen
Indicates that one artist has had a significant impact on the style, work, or development of another artist.
-
B.
hasGenreInfluenceOn
Indicates that one genre has a notable impact on shaping or influencing the characteristics, style, or development of another genre.
-
C.
influencedByGenre
Indicates that something’s characteristics, style, or development are shaped or affected by a particular genre.
-
D.
inspiredByArtist
Indicates that one entity’s work, style, or creation is influenced or motivated by the artistic output or persona of another artist.
-
E.
hasEnduringInfluenceOn
Indicates that one entity exerts a lasting, long-term impact on another entity’s state, development, or behavior.
- 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb85a2871081908a4093838fc93b5a |
completed | March 31, 2026, 8:28 a.m. |
| PD | Predicate disambiguation | batch_69cb70d7ea348190aafbf8ca02b7b7d5 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:07 p.m.