Triple
T26169718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of Westphalia |
E654364
|
entity |
| Predicate | monarchRelationToNapoleon |
P70712
|
FINISHED |
| Object | younger brother |
—
|
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: younger brother | Statement: [Queen of Westphalia, monarchRelationToNapoleon, younger brother]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monarchRelationToNapoleon Context triple: [Queen of Westphalia, monarchRelationToNapoleon, younger brother]
-
A.
relativeTypeToNapoleonBonaparte
Indicates the specific familial relationship that an entity has to Napoleon Bonaparte.
-
B.
monarchRelativeOf
chosen
Indicates a familial or kinship relationship between a monarch and another individual.
-
C.
constitutionalMonarchRelation
Indicates that one entity serves as a constitutional monarch in relation to another entity, over which they act as a ceremonial head of state within a constitutional framework.
-
D.
monarchOfFrenchSide
Indicates that one entity serves as the ruling monarch over the French side or faction in a given context or domain.
-
E.
monarchInFamily
Indicates that a member of a family holds (or held) the position of monarch within that family lineage.
- F. None of above.
Provenance (3 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_69ee5b44391c81908bdbd8813ba9aa99 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60c425de88190a221b40e81d0dcc1 |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 26, 2026, 8:34 p.m.