Triple
T26828722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Prism |
E675437
|
entity |
| Predicate | ironicAspect |
P161520
|
FINISHED |
| Object | her moralism contrasts with her past mistake |
—
|
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: her moralism contrasts with her past mistake | Statement: [Miss Prism, ironicAspect, her moralism contrasts with her past mistake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ironicAspect Context triple: [Miss Prism, ironicAspect, her moralism contrasts with her past mistake]
-
A.
onAspect
Indicates that one entity is positioned on a particular side, surface, or facet of another entity.
-
B.
symbolicAspect
Indicates that one entity functions as a symbol or emblem that represents, expresses, or conveys a particular meaning, quality, or concept of another entity.
-
C.
coversAspect
Indicates that one entity addresses, includes, or deals with a particular aspect or facet of another entity or topic.
-
D.
refersToAspect
Indicates that one entity specifically references or points to a particular aspect, feature, or component of another entity.
-
E.
testsAspect
Indicates that one entity evaluates, examines, or assesses a particular aspect, feature, or dimension of another entity.
- 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_69eee9b776448190993a60b67fcc9545 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61adb3c348190ac6b1744ee520276 |
completed | May 2, 2026, 3:40 p.m. |
| PD | Predicate disambiguation | batch_69f611ad2eb48190ac1ed0090f13f7a9 |
completed | May 2, 2026, 3:01 p.m. |
| PDg | Predicate description generation | batch_69f6142a0b988190b404d078f73c3cb9 |
completed | May 2, 2026, 3:11 p.m. |
Created at: April 27, 2026, 5 a.m.