Triple
T3849036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurie Pritchett |
E85244
|
entity |
| Predicate | lawEnforcementPhilosophy |
P21773
|
FINISHED |
| Object | maintaining segregation while avoiding overt brutality |
—
|
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: maintaining segregation while avoiding overt brutality | Statement: [Laurie Pritchett, lawEnforcementPhilosophy, maintaining segregation while avoiding overt brutality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lawEnforcementPhilosophy Context triple: [Laurie Pritchett, lawEnforcementPhilosophy, maintaining segregation while avoiding overt brutality]
-
A.
policingModel
chosen
Indicates the approach, strategy, or framework used to organize and conduct policing activities or law enforcement operations.
-
B.
typeOfLawEnforcement
Indicates that one entity is a specific kind or category of law enforcement associated with another entity.
-
C.
legalPhilosophy
Indicates the philosophical principles, theories, or viewpoints that underpin or guide a legal system, doctrine, or interpretation.
-
D.
lawEnforcementLevel
Indicates the degree or intensity of law enforcement presence, activity, or strictness applied in a given context.
-
E.
impactOnLawEnforcement
Indicates the effect or consequences that something has on law enforcement activities, operations, or effectiveness.
- 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_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeebcde86081908cf3840ae002acfa |
completed | March 9, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69aee750377c8190af70c79768c0edd8 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:19 p.m.