Triple
T13268150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fred Korematsu |
E315977
|
entity |
| Predicate | dateOfConvictionOverturn |
P4513
|
FINISHED |
| Object | 1983 |
—
|
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: 1983 | Statement: [Fred Korematsu, dateOfConvictionOverturn, 1983]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfConvictionOverturn Context triple: [Fred Korematsu, dateOfConvictionOverturn, 1983]
-
A.
dateOfConviction
Indicates the specific calendar date on which a person or entity was formally found guilty of an offense.
-
B.
dateOfExoneration
Indicates the date on which an entity was officially cleared of blame, guilt, or conviction.
-
C.
convictionYear
Indicates the calendar year in which an entity was formally convicted of an offense.
-
D.
reasonForOverturningConviction
Indicates the specific grounds or justification that led to a prior conviction being reversed or nullified.
-
E.
wasOverturnedInYear
chosen
Indicates that a prior decision, ruling, or outcome was reversed or nullified in the specified year.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f60911081909fa346a054f76c9f |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:25 p.m.