Triple
T33878868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moor House |
E868428
|
entity |
| Predicate | providesEmploymentTo |
P158397
|
FINISHED |
| Object | Jane Eyre as village schoolmistress (indirectly) |
—
|
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: Jane Eyre as village schoolmistress (indirectly) | Statement: [Moor House, providesEmploymentTo, Jane Eyre as village schoolmistress (indirectly)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesEmploymentTo Context triple: [Moor House, providesEmploymentTo, Jane Eyre as village schoolmistress (indirectly)]
-
A.
worksNear
Indicates that one entity performs its work or duties in close physical proximity to another entity.
-
B.
employedPeople
Indicates that there exists a relationship where people are currently working in jobs or positions, typically under an employer.
-
C.
employerIn
Indicates that one entity serves as the employer of another within a specified context, such as a location, organization, or time period.
-
D.
commonEmployment
Indicates that two or more entities share the same employer or have worked for the same organization.
-
E.
employerService
chosen
Indicates that one entity provides employment-related services or functions to another entity, typically in the role of an employer.
- 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_69f34995b81c8190acdb45cea5a10eff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe21b0cba48190b56c39e9f1c0eafa |
completed | May 8, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69fe204576848190aecf204e2adba5dc |
completed | May 8, 2026, 5:41 p.m. |
Created at: May 1, 2026, 1:48 a.m.