Triple
T14547204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caribbean literary modernism |
E341319
|
entity |
| Predicate | hasFormFeature |
P182
|
FINISHED |
| Object | formal experimentation |
—
|
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: formal experimentation | Statement: [Caribbean literary modernism, hasFormFeature, formal experimentation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormFeature Context triple: [Caribbean literary modernism, hasFormFeature, formal experimentation]
-
A.
hasFeature
chosen
Indicates that an entity possesses, exhibits, or includes a particular characteristic, attribute, or component.
-
B.
hasForm
Indicates that one entity possesses, exhibits, or is characterized by a particular shape, structure, or configuration.
-
C.
containsForm
Indicates that one entity includes or encapsulates another entity as a form, structure, or representation within it.
-
D.
supportsForms
Indicates that one entity is capable of handling, accepting, or working with specific forms or form types associated with another entity.
-
E.
supportsFeature
Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2ebdf9481909f4d2da1ad31099c |
completed | April 14, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69de5c546c7081909e27d504ec360c5c |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:23 a.m.