Triple
T33188356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Shannon |
E849532
|
entity |
| Predicate | lawEnforcementBackground |
P146218
|
FINISHED |
| Object | former cop |
—
|
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: former cop | Statement: [Jim Shannon, lawEnforcementBackground, former cop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lawEnforcementBackground Context triple: [Jim Shannon, lawEnforcementBackground, former cop]
-
A.
officersBackground
chosen
Indicates that there is information describing the professional or personal background of the officers associated with an entity.
-
B.
lawEnforcementCertification
Indicates that an entity has been officially certified or authorized to perform law enforcement duties.
-
C.
lawEnforcementContext
Indicates that the relationship or action occurs within, is shaped by, or is relevant to a law enforcement setting, process, or activity.
-
D.
lawEnforcementLabel
Indicates that an entity has been designated, tagged, or classified by a law enforcement authority for monitoring, identification, or investigative purposes.
-
E.
typeOfLawEnforcement
Indicates that one entity is a specific kind or category of law enforcement associated with another entity.
- 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_69f3495e0f108190a6a7006f79f9c2c3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:29 a.m.