Triple
T37974721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wife of Bath's Tale |
E947388
|
entity |
| Predicate | embeddedStoryType |
P11858
|
FINISHED |
| Object | exemplum |
—
|
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: exemplum | Statement: [The Wife of Bath's Tale, embeddedStoryType, exemplum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: embeddedStoryType Context triple: [The Wife of Bath's Tale, embeddedStoryType, exemplum]
-
A.
storyBy
Indicates that one entity is the creator or author of the story associated with another entity.
-
B.
narrativeType
chosen
Indicates the specific kind or category of narrative (e.g., genre, structural form, or storytelling mode) associated with an entity.
-
C.
storyElement
Indicates that one entity functions as a narrative component or part within the structure of another entity’s story.
-
D.
inStoryObtainedBy
Indicates that something is obtained by an entity within the context of a specific story or narrative.
-
E.
storyTitle
Indicates that one entity is the title assigned to a story associated with 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_69f76ef7db908190bba6086673a32300 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.