Triple
T10361513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hareton Earnshaw |
E244143
|
entity |
| Predicate | deprivedOf |
P93868
|
FINISHED |
| Object | formal education |
—
|
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: formal education | Statement: [Hareton Earnshaw, deprivedOf, formal education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deprivedOf Context triple: [Hareton Earnshaw, deprivedOf, formal education]
-
A.
dispossessedBy
Indicates that one entity has been deprived of possession, control, or ownership of something as a result of the actions of another entity.
-
B.
disinherited
Indicates that one entity has been legally excluded from receiving an inheritance or succession rights that they might otherwise have been expected to obtain from another entity.
-
C.
divested
Indicates that one entity has sold off, relinquished, or otherwise disposed of ownership, control, or interest in another entity or asset.
-
D.
expelledFrom
Indicates that an entity has been formally forced to leave or is removed from a place, organization, or institution, typically as a punishment or disciplinary action.
-
E.
lessWorthyThan
Indicates that one entity is considered to have lower value, merit, or worth compared to 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e96209548190957368ee8c6a9ec3 |
completed | April 7, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69d4dfa657f481909cc5cc8fec00ad19 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e91ce2008190af252c140370b7f2 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 11:59 a.m.