Triple
T32646511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Still Smokin |
E834609
|
entity |
| Predicate | containsDrugUseDepiction |
P194885
|
FINISHED |
| Object | marijuana |
—
|
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: marijuana | Statement: [Still Smokin, containsDrugUseDepiction, marijuana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsDrugUseDepiction Context triple: [Still Smokin, containsDrugUseDepiction, marijuana]
-
A.
depictsDrugUse
chosen
Indicates that one entity visually represents or portrays the use or consumption of drugs by another entity or entities.
-
B.
coUsesDrugsWith
Indicates that two or more entities use drugs together or participate jointly in drug-related activities.
-
C.
usesDrug
Indicates that an entity consumes, administers, or otherwise makes use of a specified drug.
-
D.
cultDepictedIn
Indicates that a particular cult is visually or narratively represented within a specified work, medium, or depiction.
-
E.
drugUseHistory
Indicates that an entity has a recorded past or ongoing pattern of using drugs.
- 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_69f3492e773c81908afc10651e46cad3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ffe6e2eb688190a45fd2c6415cd86a |
completed | May 10, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69ffe65939488190a35b9c2e9c7ad868 |
completed | May 10, 2026, 1:58 a.m. |
Created at: May 1, 2026, 1:07 a.m.