Triple
T11459539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quartus de Wet |
E271615
|
entity |
| Predicate | genreOfJudgment |
P99680
|
FINISHED |
| Object | criminal sentencing |
—
|
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: criminal sentencing | Statement: [Quartus de Wet, genreOfJudgment, criminal sentencing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfJudgment Context triple: [Quartus de Wet, genreOfJudgment, criminal sentencing]
-
A.
judgedBy
Indicates that one entity evaluates, assesses, or forms an opinion about another entity, often in an official or critical capacity.
-
B.
judgedAs
Indicates that one entity evaluates or forms an opinion about another entity according to some criteria or standard.
-
C.
judgeFrom
Indicates that one entity forms an opinion, evaluation, or conclusion about something based on another specified source, basis, or perspective.
-
D.
divineJudgmentTheme
Indicates a thematic relationship where events, narratives, or depictions center on a deity or divine power evaluating, condemning, or rewarding beings or actions according to a transcendent moral or spiritual standard.
-
E.
genreOfAppearance
Indicates the genre or type of creative work in which an entity appears.
- F. None of above. chosen
Provenance (4 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f2138081909408c7916cef99c9 |
completed | April 9, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69d80867ff248190bb157fa9e355353b |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d822ef46988190a1c360da4ee14fef |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:35 p.m.