Triple
T13931195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Or Nah (featuring Wiz Khalifa and DJ Mustard) |
E334994
|
entity |
| Predicate | typicalListeningContext |
P56761
|
FINISHED |
| Object | clubs |
—
|
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: clubs | Statement: [Or Nah (featuring Wiz Khalifa and DJ Mustard), typicalListeningContext, clubs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalListeningContext Context triple: [Or Nah (featuring Wiz Khalifa and DJ Mustard), typicalListeningContext, clubs]
-
A.
usuallyHears
Indicates that one entity typically or habitually perceives sounds produced by another entity.
-
B.
genreContext
Indicates the contextual genre or categorical style associated with an entity, such as the thematic or stylistic framework in which it is situated.
-
C.
typicalAnnouncementContext
Indicates that an announcement occurs in a context or situation that is considered typical or characteristic for such announcements.
-
D.
typicalIn
Indicates that something commonly occurs, appears, or is found within a given context, category, or environment.
-
E.
typicalCircumstance
chosen
Indicates the usual or commonly occurring situation, condition, or context in which an event, action, or relationship typically takes place.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf13b2881908a48058a719d3745 |
completed | April 14, 2026, 12:02 p.m. |
| PD | Predicate disambiguation | batch_69de059e4ba881908554f72e889719fa |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:16 p.m.