Triple
T483719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joséphine de Beauharnais |
E9826
|
entity |
| Predicate | predecessorAsEmpressOfTheFrench |
P13501
|
FINISHED |
| Object | none (title newly created) |
—
|
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: none (title newly created) | Statement: [Joséphine de Beauharnais, predecessorAsEmpressOfTheFrench, none (title newly created)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorAsEmpressOfTheFrench Context triple: [Joséphine de Beauharnais, predecessorAsEmpressOfTheFrench, none (title newly created)]
-
A.
predecessorAsQueenConsort
Indicates that one queen consort held the position immediately before another queen consort in a royal succession.
-
B.
monarchMother
Indicates that one entity is the mother of another entity who holds or held a monarchical position (such as king, queen, emperor, etc.).
-
C.
successorAsQueenConsort
Indicates that one individual became the next queen consort following another in a royal succession.
-
D.
lastMonarchOf
Indicates that one entity is the final reigning monarch of another entity, such as a country, kingdom, or territory.
-
E.
precededAsFirstLadyOfTheUnitedStatesBy
Indicates that one person served as First Lady of the United States immediately before another person.
- 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_69a2f0b8fe6081909f8ab87bfda6b2d8 |
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.