Triple
T483722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joséphine de Beauharnais |
E9826
|
entity |
| Predicate | divorceReason |
P13503
|
FINISHED |
| Object | failure to produce an heir with Napoleon |
—
|
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: failure to produce an heir with Napoleon | Statement: [Joséphine de Beauharnais, divorceReason, failure to produce an heir with Napoleon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: divorceReason Context triple: [Joséphine de Beauharnais, divorceReason, failure to produce an heir with Napoleon]
-
A.
spouseRelationshipEnd
Indicates that a marital relationship between two individuals has ended, such as through divorce, annulment, or separation.
-
B.
separationYear
Indicates the year in which two entities ended or dissolved their relationship or association.
-
C.
marriageType
Indicates the specific legal or social category of a marriage relationship that exists between two spouses.
-
D.
reasonWritten
Indicates that one entity is the reason or motivation for which another entity was written or authored.
-
E.
reasonForAbdication
Indicates the specific cause, motive, or circumstances that led an individual to formally abdicate a position of authority or power.
- 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_69a2e802e2908190ab17c9479e0b6412 |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f0ba310c81909645ef7e8a20b52f |
completed | Feb. 28, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69a2edf48ec08190b85d07e194f99c49 |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eeba8a488190986cc7381332f783 |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.