Triple
T28304850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louise de Kérouaille, Duchess of Portsmouth |
E713810
|
entity |
| Predicate | enteredEnglishCourtInYear |
P166479
|
FINISHED |
| Object | 1670 |
—
|
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: 1670 | Statement: [Louise de Kérouaille, Duchess of Portsmouth, enteredEnglishCourtInYear, 1670]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enteredEnglishCourtInYear Context triple: [Louise de Kérouaille, Duchess of Portsmouth, enteredEnglishCourtInYear, 1670]
-
A.
cameIntoForceInYear
Indicates that a law, agreement, or formal measure became legally effective or operational in a specified calendar year.
-
B.
usedAsLawCourtsUntil
Indicates that something functioned as law courts up to a specified point in time.
-
C.
introducedInEnglandAndWales
Indicates that something was first brought into use, implemented, or established within the jurisdiction of England and Wales.
-
D.
lawsuitYear
Indicates the calendar year in which a lawsuit was filed, initiated, or formally recorded.
-
E.
affirmedInYear
Indicates that a statement, decision, or status was formally confirmed or upheld in a specified year.
- 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_69f6622808b48190bbabcc75288ab031 |
completed | May 2, 2026, 8:44 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f6617a7e7c81908cfac4a2250797ee |
completed | May 2, 2026, 8:41 p.m. |
Created at: April 27, 2026, 11:37 p.m.