Triple
T6264791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Horsemen (Supreme Court) |
E140386
|
entity |
| Predicate | typicalVote |
P52945
|
FINISHED |
| Object | struck down economic regulations |
—
|
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: struck down economic regulations | Statement: [Four Horsemen (Supreme Court), typicalVote, struck down economic regulations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalVote Context triple: [Four Horsemen (Supreme Court), typicalVote, struck down economic regulations]
-
A.
popularVoteType
Indicates the specific method or category by which a popular vote is conducted or classified in an election or decision process.
-
B.
typicalPresidentialVote
Indicates that the vote cast aligns with the usual or characteristic voting pattern observed in presidential elections.
-
C.
votePattern
chosen
Indicates a recurring way or tendency in how an entity casts votes across issues, candidates, or time.
-
D.
popularVote
Indicates the number or share of votes directly cast by the general electorate for a candidate or option in an election.
-
E.
voteType
Indicates the specific category or kind of vote associated with an action or decision (e.g., upvote, downvote, approval, rejection).
- 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_69c008cabc4081909723e2547c9d6cc0 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0638c43808190a375e9f29f2b2138 |
completed | March 22, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69c05606fb50819082d1a5a91e5030b6 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:25 p.m.