Triple
T15927849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hard in da Paint |
E386247
|
entity |
| Predicate | definingSoundOf |
P19774
|
FINISHED |
| Object | early 2010s Atlanta trap |
—
|
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: early 2010s Atlanta trap | Statement: [Hard in da Paint, definingSoundOf, early 2010s Atlanta trap]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definingSoundOf Context triple: [Hard in da Paint, definingSoundOf, early 2010s Atlanta trap]
-
A.
signatureSound
chosen
Indicates that something has a distinctive, characteristic sound that uniquely identifies it.
-
B.
followsSoundOf
Indicates that one entity moves or directs its attention by tracking the source or direction of a sound produced by another entity.
-
C.
soundDesignBy
Indicates that the sound design for a work (such as a film, game, or performance) is created or supervised by a particular person or entity.
-
D.
depictsSound
Indicates that one entity visually represents or portrays the sound produced by another entity.
-
E.
soundDesignFor
Indicates that one entity is responsible for creating or shaping the audio or soundscape used in another entity (such as a work, scene, or production).
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e172b48b308190bc430b2308cbc75b |
completed | April 16, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69e142cf5c548190a931f7b58144cd31 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:52 a.m.