Triple
T28520495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fall from Innocence |
E721748
|
entity |
| Predicate | collectionStructure |
P180222
|
FINISHED |
| Object | one of four novellas in Different Seasons |
—
|
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: one of four novellas in Different Seasons | Statement: [Fall from Innocence, collectionStructure, one of four novellas in Different Seasons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectionStructure Context triple: [Fall from Innocence, collectionStructure, one of four novellas in Different Seasons]
-
A.
categoryStructure
Indicates the hierarchical or organizational relationship that defines how categories are structured and arranged relative to one another.
-
B.
featuresStructure
Indicates that one entity possesses, exhibits, or incorporates a particular structure as a notable characteristic or component.
-
C.
collectionModel
Indicates that one entity serves as a model, template, or representative example for a collection of related entities.
-
D.
documentsTypeOfStructure
Indicates that an entity records or specifies the particular type or classification of a structure.
-
E.
storageStructure
Indicates a relationship where one entity serves as a physical or logical structure used to store or contain 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_69f01a5cbcc4819083fb4e723378713e |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
| PDg | Predicate description generation | batch_69f739a58b3c81908abc2b8738a65678 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 28, 2026, 3:20 a.m.