Triple
T21879203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Wizard of the Ku Klux Klan |
E540232
|
entity |
| Predicate | linkedToCriminalActivity |
P54348
|
FINISHED |
| Object | hate crimes |
—
|
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: hate crimes | Statement: [Grand Wizard of the Ku Klux Klan, linkedToCriminalActivity, hate crimes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedToCriminalActivity Context triple: [Grand Wizard of the Ku Klux Klan, linkedToCriminalActivity, hate crimes]
-
A.
illegalActivityAssociatedWith
chosen
Indicates that there is a connection between an entity and an unlawful or criminal activity.
-
B.
country of criminal activity
Indicates the country in which the criminal activity took place or was primarily carried out.
-
C.
associatedWithLawEnforcementAgency
Indicates that an entity has a formal connection, role, or involvement with a law enforcement agency.
-
D.
declaredCriminalOrganizationIn
Indicates that an authority has officially designated a group as a criminal organization within a specific jurisdiction or location.
-
E.
associatedWithGang
Indicates that an entity has a known or alleged connection, membership, or involvement with a gang.
- 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f118e42c108190b6308016655c429e |
completed | April 28, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69e6be9394f88190945ddd1dc004d29d |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:03 p.m.