Triple
T2767077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victorian aesthetics |
E61361
|
entity |
| Predicate | oftenExpressedThrough |
P4596
|
FINISHED |
| Object | narrative realism |
—
|
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: narrative realism | Statement: [Victorian aesthetics, oftenExpressedThrough, narrative realism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenExpressedThrough Context triple: [Victorian aesthetics, oftenExpressedThrough, narrative realism]
-
A.
expresses
Indicates that one entity conveys, communicates, or articulates a thought, feeling, or idea through another medium or form.
-
B.
expressedThrough
chosen
Indicates that something (such as an idea, emotion, or content) is conveyed, manifested, or communicated by means of a particular medium, form, or channel.
-
C.
expressedHighlyIn
Indicates that something (such as a gene, protein, or feature) is present or active at a much higher level than normal in a given entity or context.
-
D.
feltIn
Indicates that a sensation, emotion, or effect is experienced within a particular location, context, or entity.
-
E.
oftenDepictedAs
Indicates that one entity is frequently represented or portrayed in the form, appearance, or symbolism of another entity.
- 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_69ab4b7bab6c8190a5c2efef19a8ef34 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddceb9d88190961e30d521a21552 |
completed | March 7, 2026, 8:11 a.m. |
| PD | Predicate disambiguation | batch_69abdcfc5e1c8190a5ac2c48d3eaeb0a |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:57 p.m.