Triple
T29913729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McPherson v. Blacker |
E759736
|
entity |
| Predicate | natureOfDecision |
P2165
|
FINISHED |
| Object | constitutional interpretation of Article II |
—
|
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: constitutional interpretation of Article II | Statement: [McPherson v. Blacker, natureOfDecision, constitutional interpretation of Article II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: natureOfDecision Context triple: [McPherson v. Blacker, natureOfDecision, constitutional interpretation of Article II]
-
A.
decisionType
chosen
Indicates the specific category or nature of a decision associated with an entity or event.
-
B.
knownForDecision
Indicates that an entity is recognized or notable specifically for making a particular decision.
-
C.
decisionDirection
Indicates the orientation or course (e.g., choice, stance, or path) that a decision takes relative to available options or influencing factors.
-
D.
decisionMaking
Indicates the process by which an entity evaluates options and selects a course of action among alternatives.
-
E.
decisionsAre
Indicates that certain choices, judgments, or resolutions possess a specified quality, status, or classification.
- 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_69f2246189fc8190996b63ee1f9a2374 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f697eabb048190bc01a830f14942c6 |
completed | May 3, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69f69664142c8190bc695501056b0236 |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 6:11 p.m.