Triple
T33878921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Reed |
E868430
|
entity |
| Predicate | reasonForSendingJaneToLowood |
P194486
|
FINISHED |
| Object | desireToBeRidOfJane |
—
|
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: desireToBeRidOfJane | Statement: [Sarah Reed, reasonForSendingJaneToLowood, desireToBeRidOfJane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForSendingJaneToLowood Context triple: [Sarah Reed, reasonForSendingJaneToLowood, desireToBeRidOfJane]
-
A.
laterAttitudeTowardJane
Indicates a subject’s attitude or feelings toward Jane at a later point in time relative to some earlier reference time.
-
B.
relationshipToJaneBennet
Indicates the specific familial, social, or emotional connection that one entity has to Jane Bennet.
-
C.
keepsAtThornfield
Indicates that an entity is kept, housed, or maintained at the location Thornfield.
-
D.
relationshipToHareton Earnshaw
Indicates the nature or role of an entity’s connection or association with Hareton Earnshaw.
-
E.
formerGovernessOf
Indicates that one person previously served as the governess of another person.
- 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_69f34995b81c8190acdb45cea5a10eff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd76d1e5208190a6f26651492d1e3c |
completed | May 8, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69fd702a226c81908edfda00f4be4130 |
completed | May 8, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69fd76d0d7608190b350336d6c18182d |
completed | May 8, 2026, 5:38 a.m. |
Created at: May 1, 2026, 1:48 a.m.