Triple
T25784429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gonzales v. Carhart |
E649381
|
entity |
| Predicate | hasDissentOpinionBy |
P69195
|
FINISHED |
| Object | Ruth Bader Ginsburg |
—
|
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: Ruth Bader Ginsburg | Statement: [Gonzales v. Carhart, hasDissentOpinionBy, Ruth Bader Ginsburg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDissentOpinionBy Context triple: [Gonzales v. Carhart, hasDissentOpinionBy, Ruth Bader Ginsburg]
-
A.
hasDissentingOpinions
Indicates that one or more entities hold opinions that disagree with or oppose a prevailing, majority, or authoritative view in a given context.
-
B.
hasDissentingJustice
Indicates that within a judicial decision or ruling, there exists at least one justice who formally disagrees with the majority opinion.
-
C.
hasDissentAuthor
chosen
Indicates that a decision, opinion, or ruling has an associated author who wrote a dissenting opinion.
-
D.
hasDissentType
Indicates that a particular dissent is classified as belonging to a specific type or category of dissent.
-
E.
dissentingVoteBy
Indicates that a particular vote was cast in opposition to the majority or prevailing decision by a specific 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_69e7ab33e9308190afe415dc6f9e8876 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f68805b4848190b75da14996d52a38 |
completed | May 2, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 22, 2026, 5:53 a.m.