Triple
T31098856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States v. Kwame Kilpatrick |
E792614
|
entity |
| Predicate | hasCoDefendantRole |
P31780
|
FINISHED |
| Object | contractor associate of the mayor |
—
|
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: contractor associate of the mayor | Statement: [United States v. Kwame Kilpatrick, hasCoDefendantRole, contractor associate of the mayor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoDefendantRole Context triple: [United States v. Kwame Kilpatrick, hasCoDefendantRole, contractor associate of the mayor]
-
A.
hasMainDefendant
Indicates that a legal case or proceeding identifies a specific individual or entity as its primary defendant.
-
B.
involvesRoleOfDefendant
Indicates that the relationship or event includes an entity in the capacity or role of a defendant.
-
C.
hasDefendants
Indicates that one or more entities serve as defendants in relation to a particular legal case or proceeding.
-
D.
coDefendant
chosen
Indicates that two or more parties are jointly named and involved as defendants in the same legal case or proceeding.
-
E.
hasCoRepresentativeRole
Indicates that an entity shares or holds a co-representative role or position alongside another entity within the same representational context.
- 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_69f224cf157c81909e2d2bd88c9282c3 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a01c41dfe248190a68f4a262591b30f |
completed | May 11, 2026, 11:57 a.m. |
| PD | Predicate disambiguation | batch_6a01c375d14c8190a15bfa12623588a9 |
completed | May 11, 2026, 11:54 a.m. |
Created at: April 29, 2026, 9:03 p.m.