Triple
T36220492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Caroline Cavendish |
E1047832
|
entity |
| Predicate | parentalNobleTitle |
P123375
|
FINISHED |
| Object | Duke of Devonshire |
—
|
NE NERFINISHED |
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: Duke of Devonshire | Statement: [Lady Caroline Cavendish, parentalNobleTitle, Duke of Devonshire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentalNobleTitle Context triple: [Lady Caroline Cavendish, parentalNobleTitle, Duke of Devonshire]
-
A.
parentalNobilityRank
Indicates the comparative social or noble status level held by a subject’s parent(s) within a hierarchy of nobility.
-
B.
paternalTitleInherited
Indicates that an individual has received a title or rank through inheritance from their father.
-
C.
patriarchalTitleType
Indicates the specific type or category of a patriarchal title held within a religious or ecclesiastical hierarchy.
-
D.
nobleTitleElevated
Indicates that an entity’s noble rank or title has been raised to a higher level of nobility.
-
E.
nobleTitleOrStatus
chosen
Indicates that one entity holds, claims, or is associated with a particular noble rank, title, or social status in relation to 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_69f76e42c878819095c8d19c0267fb87 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe2f078c24819082ba396b56f02808 |
completed | May 8, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69fe228fe1988190baf3bb34897f3dbe |
completed | May 8, 2026, 5:51 p.m. |
Created at: May 3, 2026, 4:09 p.m.