Triple
T27394337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carole Richardson |
E691632
|
entity |
| Predicate | convictionOverturnedDate |
P4513
|
FINISHED |
| Object | 1989 |
—
|
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: 1989 | Statement: [Carole Richardson, convictionOverturnedDate, 1989]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: convictionOverturnedDate Context triple: [Carole Richardson, convictionOverturnedDate, 1989]
-
A.
wasOverturnedInYear
chosen
Indicates that a prior decision, ruling, or outcome was reversed or nullified in the specified year.
-
B.
convictionQuashed
Indicates that a previously imposed criminal conviction has been formally annulled or set aside, so it no longer has legal effect.
-
C.
convictionYear
Indicates the calendar year in which an entity was formally convicted of an offense.
-
D.
dateOfConviction
Indicates the specific calendar date on which a person or entity was formally found guilty of an offense.
-
E.
wasOverturnedByCourt
Indicates that a prior decision, ruling, or judgment was reversed or nullified by a court.
- 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_69ef5204f7048190bf226a129858fc5b |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f62caf1be88190b61397557e09c0e9 |
completed | May 2, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69f623aaf40081909f947431424a1d55 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 12:27 p.m.