Triple
T8252782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myers v. United States |
E192995
|
entity |
| Predicate | majorityJusticesCount |
P81203
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Myers v. United States, majorityJusticesCount, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorityJusticesCount Context triple: [Myers v. United States, majorityJusticesCount, 6]
-
A.
majorityJustices
Indicates that the referenced justices constitute more than half of the members of the relevant court or judicial panel in a given decision or context.
-
B.
pluralityJustices
Indicates that the referenced justices formed a plurality—receiving more support than any other opinion but not a majority—in a judicial decision.
-
C.
numberOfAssociateJustices
Indicates the total count of associate justices associated with a given judicial body or court.
-
D.
numberOfSupremeCourtJustices
Indicates the total count of individuals serving as justices on a specified Supreme Court.
-
E.
justicesRetainedBy
Indicates that certain justices continue to hold their judicial positions as a result of a retention process or decision by a specified entity.
- F. None of above. chosen
Provenance (4 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_69ca82dfad9c8190b8cd18fb89f50f40 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb78cbc7cc81909931440e95d6e691 |
completed | March 31, 2026, 7:33 a.m. |
| PD | Predicate disambiguation | batch_69cb36b6d5548190b665a6cce14c69f7 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb44d1caa881909069fa925a91316b |
completed | March 31, 2026, 3:51 a.m. |
Created at: March 30, 2026, 5:48 p.m.