Triple
T38167143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michigan v. Bay Mills Indian Community |
E953177
|
entity |
| Predicate | hasJoinedDissent |
P121532
|
FINISHED |
| Object | Clarence Thomas |
—
|
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: Clarence Thomas | Statement: [Michigan v. Bay Mills Indian Community, hasJoinedDissent, Clarence Thomas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasJoinedDissent Context triple: [Michigan v. Bay Mills Indian Community, hasJoinedDissent, Clarence Thomas]
-
A.
hasDissentJoiner
chosen
Indicates that a dissenting opinion is connected or attributed to a particular decision, document, or participant.
-
B.
hasDissentType
Indicates that a particular dissent is classified as belonging to a specific type or category of dissent.
-
C.
hasDissentAuthor
Indicates that a decision, opinion, or ruling has an associated author who wrote a dissenting opinion.
-
D.
mayDissentOn
Indicates that an entity has the option or permission to formally disagree with or oppose another entity’s decision, opinion, or action.
-
E.
hasDissentingJustice
Indicates that within a judicial decision or ruling, there exists at least one justice who formally disagrees with the majority opinion.
- 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_69f76f0b93c48190a117319ab3a9f282 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcb089a8f881909aa9e722babd43f7 |
completed | May 7, 2026, 3:32 p.m. |
| PD | Predicate disambiguation | batch_69fc45666c5c8190913bd632ac0e5b84 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:21 p.m.