Triple
T22034931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aljermiah Mack |
E544177
|
entity |
| Predicate | fieldOfCriminalActivity |
P96742
|
FINISHED |
| Object | drug trafficking |
—
|
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: drug trafficking | Statement: [Aljermiah Mack, fieldOfCriminalActivity, drug trafficking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldOfCriminalActivity Context triple: [Aljermiah Mack, fieldOfCriminalActivity, drug trafficking]
-
A.
criminalType
chosen
Indicates the specific category or classification of crime associated with a criminal act or offender.
-
B.
country of criminal activity
Indicates the country in which the criminal activity took place or was primarily carried out.
-
C.
crimeType
Indicates the specific category or nature of the crime associated with an event or entity.
-
D.
regionOfCrimes
Indicates the geographic area or jurisdiction in which the crimes occurred or are attributed to an entity.
-
E.
pursuesCrimeType
Indicates that an entity (such as a law enforcement body or individual) actively investigates, targets, or prosecutes a specified type of crime.
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127f0594881909caf4fbc3e0a2d50 |
completed | April 28, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69e6f63b0d048190b241622759aab9de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:25 p.m.