Triple
T26573278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timbs v. Indiana |
E666882
|
entity |
| Predicate | unanimity |
P2236
|
FINISHED |
| Object | unanimous decision |
—
|
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: unanimous decision | Statement: [Timbs v. Indiana, unanimity, unanimous decision]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unanimity Context triple: [Timbs v. Indiana, unanimity, unanimous decision]
-
A.
unanimousDecision
chosen
Indicates that all relevant participants fully agree on a decision without any dissent.
-
B.
union
Indicates that two or more sets are combined into a single set containing all elements that belong to at least one of them.
-
C.
uniformizes
Indicates making multiple entities or elements consistent, standardized, or uniform in form, appearance, or behavior.
-
D.
unites
Indicates that one entity brings together multiple entities into a single, cohesive whole or shared state.
-
E.
arity
Indicates the number of arguments or participants that a relation or function takes.
- 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_69ee9cfa21c081909e4e36e087debfc6 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f614a659748190a89f7b86055fa624 |
completed | May 2, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_69f602d7b1b0819095ddd3b5169f8ce2 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 1:59 a.m.