Triple
T36297216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hansen Clarke |
E893401
|
entity |
| Predicate | jurisdictionAdmittedToPracticeLawIn |
P81042
|
FINISHED |
| Object | Michigan |
—
|
NE NERFINISHED |
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: Michigan | Statement: [Hansen Clarke, jurisdictionAdmittedToPracticeLawIn, Michigan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: jurisdictionAdmittedToPracticeLawIn Context triple: [Hansen Clarke, jurisdictionAdmittedToPracticeLawIn, Michigan]
-
A.
jurisdictionAdmittedToBar
chosen
Indicates that a legal professional has been formally admitted and authorized to practice law within a particular jurisdiction.
-
B.
legalLicenseJurisdiction
Indicates the legal authority or geographic area under whose laws a particular license is granted, valid, or enforced.
-
C.
legalJurisdiction
Indicates the legal authority or geographic area whose laws and courts have the power to govern, regulate, or adjudicate matters involving the related entities.
-
D.
definedJurisdictionOf
Indicates that one entity formally establishes or specifies the scope, boundaries, or authority of another entity’s jurisdiction.
-
E.
usesJurisdiction
Indicates that one entity applies or operates under the legal authority or rules of a particular jurisdiction.
- 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_69f76e4a61f0819084a2b68dbbb4efc6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7ba6d06f48190a71b5a2f19e2232f |
completed | May 3, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.