Triple
T13910075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duchess of Kent |
E334465
|
entity |
| Predicate | dateOfCreationOfAssociatedDukedom |
P91268
|
FINISHED |
| Object | 1934 |
—
|
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: 1934 | Statement: [Duchess of Kent, dateOfCreationOfAssociatedDukedom, 1934]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfCreationOfAssociatedDukedom Context triple: [Duchess of Kent, dateOfCreationOfAssociatedDukedom, 1934]
-
A.
creationOfDukedomDate
chosen
Indicates the date on which a particular dukedom was formally created or established.
-
B.
createdDukeOfRichmondDate
Indicates the date on which the title of Duke of Richmond was created or conferred.
-
C.
createdAsDuchy
Indicates that an entity was established or formed with the political status or rank of a duchy.
-
D.
dateOfCreationAsDukeOfClarence
Indicates the date on which an individual was formally created or granted the title of Duke of Clarence.
-
E.
yearOfCreationOfEarldom
Indicates the specific year in which a particular earldom was formally created or established.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2723461881908376b5509ee0d530 |
completed | April 14, 2026, 11:38 a.m. |
| PD | Predicate disambiguation | batch_69de059e4ba881908554f72e889719fa |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:16 p.m.