Triple
T22189641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smokey |
E548382
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Marijuana |
—
|
NE NERFINISHED |
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: [Smokey, associatedWith, Marijuana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marijuana Context triple: [Smokey, associatedWith, Marijuana]
-
A.
Cannabis
chosen
Cannabis is a genus of flowering plants best known for producing psychoactive and medicinal compounds such as THC and CBD, widely used for recreational, therapeutic, and industrial (hemp) purposes.
-
B.
Ganja
Ganja is one of Azerbaijan’s largest and oldest cities, known as a historic cultural and economic center in the South Caucasus.
-
C.
Cann
Cann is the family name of American actor, producer, and director William Conrad, known for his distinctive deep voice and roles in radio, film, and television.
-
D.
Weed
Weed is a small unincorporated community located in the Sacramento Mountains of southern New Mexico.
-
E.
THC
THC (tetrahydrocannabinol) is the primary psychoactive compound in cannabis responsible for the plant’s mind-altering effects.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aac07d88190848c940863c0a0c7 |
completed | April 28, 2026, 9:46 p.m. |
Created at: April 16, 2026, 8:35 p.m.