Triple
T28304847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louise de Kérouaille, Duchess of Portsmouth |
E713810
|
entity |
| Predicate | createdDuchessOfAubignyInYear |
P190999
|
FINISHED |
| Object | 1684 |
—
|
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: 1684 | Statement: [Louise de Kérouaille, Duchess of Portsmouth, createdDuchessOfAubignyInYear, 1684]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: createdDuchessOfAubignyInYear Context triple: [Louise de Kérouaille, Duchess of Portsmouth, createdDuchessOfAubignyInYear, 1684]
-
A.
createdDuchessOfAubignyBy
Indicates the act by which a person or authority formally established or conferred the title of Duchess of Aubigny upon someone.
-
B.
createdDuchessOfPortsmouthInYear
Indicates that an entity was made or appointed Duchess of Portsmouth in a specified year.
-
C.
createdDuchessOfPortsmouthBy
Indicates that an authority or agent established or conferred the title of Duchess of Portsmouth upon a specific person.
-
D.
createdDuchess
Indicates that an entity brought a duchess into existence, typically by giving birth to or otherwise originating her.
-
E.
createdDukeOfRichmondDate
Indicates the date on which the title of Duke of Richmond was created or conferred.
- 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_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
| PDg | Predicate description generation | batch_69fcd866dd248190bff61c43bee93f54 |
completed | May 7, 2026, 6:22 p.m. |
Created at: April 27, 2026, 11:37 p.m.