Triple
T32363892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ***Flawless |
E826936
|
entity |
| Predicate | incorporatesHipHopInfluence |
P152787
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [***Flawless, incorporatesHipHopInfluence, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incorporatesHipHopInfluence Context triple: [***Flawless, incorporatesHipHopInfluence, yes]
-
A.
incorporatesInfluence
chosen
Indicates that one entity integrates or absorbs the influence, ideas, or characteristics of another into itself.
-
B.
hasRhythmInfluence
Indicates that one entity has influenced or shaped the rhythmic patterns, style, or timing characteristics of another entity.
-
C.
hasDanceInfluence
Indicates that one entity has contributed to shaping, inspiring, or affecting the dance style, technique, or choreography of another entity.
-
D.
hasGenreInfluenceOn
Indicates that one genre has a notable impact on shaping or influencing the characteristics, style, or development of another genre.
-
E.
incorporatesMetalInfluence
Indicates that something includes or integrates stylistic, structural, or thematic elements characteristic of metal (e.g., metal music or metal aesthetics) into its overall composition or design.
- 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_69f349166d548190887b412fe908e2f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c1bb5f248190834161b5a6ba1ece |
completed | May 3, 2026, 3:32 a.m. |
| PD | Predicate disambiguation | batch_69f6bd25bed08190befcabd3a41ffadf |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 12:50 a.m.