Triple
T24827634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germaine Lindsay |
E621236
|
entity |
| Predicate | radicalization |
P93861
|
FINISHED |
| Object | radicalized in the United Kingdom |
—
|
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: radicalized in the United Kingdom | Statement: [Germaine Lindsay, radicalization, radicalized in the United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: radicalization Context triple: [Germaine Lindsay, radicalization, radicalized in the United Kingdom]
-
A.
radicalizedIn
chosen
Indicates that an entity became radicalized or adopted extreme views within a specified place, context, or environment.
-
B.
radical
Indicates that an entity holds or is associated with extreme, fundamental, or revolutionary views, changes, or characteristics relative to a norm.
-
C.
typeOfExtremism
Indicates a classification relationship where an entity is identified as belonging to a specific form or category of extremism.
-
D.
typeOfTerrorism
Indicates a classification relationship where an act or event is identified as belonging to a specific category or type of terrorism.
-
E.
positionOnExtremism
Indicates the stance or degree of support, opposition, or neutrality an entity has toward extremist views, groups, or actions.
- 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_69e2fac0c3b881909110e5a56c6fa46f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:05 a.m.