Triple
T28304851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louise de Kérouaille, Duchess of Portsmouth |
E713810
|
entity |
| Predicate | becameRoyalMistressInYear |
P164252
|
FINISHED |
| Object | circa 1671 |
—
|
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: circa 1671 | Statement: [Louise de Kérouaille, Duchess of Portsmouth, becameRoyalMistressInYear, circa 1671]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: becameRoyalMistressInYear Context triple: [Louise de Kérouaille, Duchess of Portsmouth, becameRoyalMistressInYear, circa 1671]
-
A.
becameCrownPrincessOn
Indicates the date on which an individual assumed the title and role of crown princess.
-
B.
royalDesignationYear
Indicates the year in which an entity was formally granted or recognized with a royal status or designation.
-
C.
dateBecamePrincessRoyal
Indicates the specific date on which an individual assumed the title or status of Princess Royal.
-
D.
reignAsDuchessFrom
Indicates that a person holds and exercises the title and authority of a duchess over a specified domain starting from a given point in time.
-
E.
reignAsEmpressConsortBegan
Indicates the point in time when an individual began their tenure or role as an empress consort.
- 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_69efb524ab688190a1ce7ee7c9520932 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f644b5d814819098c20ea8f6051ce8 |
completed | May 2, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f6430975b481909191219ad13ef77e |
completed | May 2, 2026, 6:31 p.m. |
Created at: April 27, 2026, 11:37 p.m.