Triple
T25597648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of Wyoming v. Aaron McKinney |
E641696
|
entity |
| Predicate | timePeriodOfTrial |
P81432
|
FINISHED |
| Object | 1999 |
—
|
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: 1999 | Statement: [State of Wyoming v. Aaron McKinney, timePeriodOfTrial, 1999]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodOfTrial Context triple: [State of Wyoming v. Aaron McKinney, timePeriodOfTrial, 1999]
-
A.
bearTrialDuration
Indicates the length of time for which an entity undergoes or is subjected to a trial or testing process.
-
B.
timePeriodOfLitigation
chosen
Indicates the span of time during which a particular litigation or legal case is active or takes place.
-
C.
timePeriod
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
D.
onTrialFor
Indicates that a person is currently being legally prosecuted or judged in court for a specific alleged offense or charge.
-
E.
termOfCourt
Indicates the specific judicial session or period during which a court is formally in operation for a case or legal matter.
- 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_69e75dc60d108190b7e2419e36b0134b |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5ffc74fa481909b4fe24a9337f9eb |
completed | May 2, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7f99dc08190afcfb3bc4dfbec1d |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 21, 2026, 4:28 p.m.