Triple
T21264631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John W. Terry |
E524093
|
entity |
| Predicate | hasLegalCaseOutcome |
P2931
|
FINISHED |
| Object | U.S. Supreme Court upheld the stop-and-frisk |
—
|
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: U.S. Supreme Court upheld the stop-and-frisk | Statement: [John W. Terry, hasLegalCaseOutcome, U.S. Supreme Court upheld the stop-and-frisk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLegalCaseOutcome Context triple: [John W. Terry, hasLegalCaseOutcome, U.S. Supreme Court upheld the stop-and-frisk]
-
A.
legalOutcome
chosen
Indicates the resulting legal status, decision, or consequence that follows from a legal process, action, or judgment.
-
B.
hasLegalProceeding
Indicates that there is a formal legal action, case, or proceeding involving the related entities.
-
C.
legalCaseHeParticipatedInDecidedBy
Indicates that a legal case in which he participated was decided or adjudicated by a specified authority or court.
-
D.
legalCaseOutcomeAssociatedWith
Indicates that a particular legal case outcome is connected or linked to a specific related entity, such as a case, party, or legal proceeding.
-
E.
hasJustice
Indicates that an entity possesses, upholds, or embodies justice in its actions, qualities, or governing principles.
- 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_69e0b5156d7881909bd4f83676590715 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735ea74e0819099d724de95996c90 |
completed | April 21, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69e5f61239708190ab7b3c83ae848a0d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 4 p.m.