Triple
T25085815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bursley |
E628315
|
entity |
| Predicate | roleInWorks |
P124907
|
FINISHED |
| Object | principal setting in several novels by Arnold Bennett |
—
|
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: principal setting in several novels by Arnold Bennett | Statement: [Bursley, roleInWorks, principal setting in several novels by Arnold Bennett]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInWorks Context triple: [Bursley, roleInWorks, principal setting in several novels by Arnold Bennett]
-
A.
inUniverseWorkplaceRole
chosen
Indicates that an entity holds a specific workplace role or job position within a fictional or narrative universe.
-
B.
employedRole
Indicates that an entity holds or performs a specific role or position within an employment or work context.
-
C.
hasWorksIn
Indicates that one entity is employed by or performs their professional activities within the organization, location, or context represented by another entity.
-
D.
roleInvolves
Indicates that a particular role includes or requires participation in a specified activity, responsibility, or function.
-
E.
workIncludes
Indicates that a work (such as a project, document, or creative piece) contains or incorporates another specified component, part, or element.
- 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_69e2ff2f58e881908340527bc5d34f07 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f6640168948190811bd5f933a87cf5 |
completed | May 2, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f6633451948190bcc0410602bb4914 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 18, 2026, 6:23 a.m.