Triple
T32561025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arne Cheyenne Johnson "Devil Made Me Do It" case |
E832223
|
entity |
| Predicate | policeClassification |
P180995
|
FINISHED |
| Object | stabbing homicide following an argument |
—
|
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: stabbing homicide following an argument | Statement: [Arne Cheyenne Johnson "Devil Made Me Do It" case, policeClassification, stabbing homicide following an argument]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policeClassification Context triple: [Arne Cheyenne Johnson "Devil Made Me Do It" case, policeClassification, stabbing homicide following an argument]
-
A.
officerCategory
Indicates the classification or type of officer role that an individual holds within an organization or system.
-
B.
policeRank
Indicates that one entity holds a specific rank or position within a police organization relative to another entity.
-
C.
policeBranchType
Indicates the specific organizational category or type of a police branch within a law enforcement structure.
-
D.
policeSystem
Indicates a relationship where an entity functions as, belongs to, or is governed by a system of law enforcement or policing.
-
E.
policeDescription
Indicates that an entity serves as or provides a descriptive account or characterization of a police-related entity, role, action, or situation.
- F. None of above. chosen
Provenance (4 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_69f34926b9848190ace47d2dd0a0de7c |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
| PDg | Predicate description generation | batch_69f75dc140c4819085063d6c4c36ca61 |
completed | May 3, 2026, 2:37 p.m. |
Created at: May 1, 2026, 1:03 a.m.