Triple
T28764364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess of Leuchtenberg |
E726217
|
entity |
| Predicate | maritalAllianceRole |
P167931
|
FINISHED |
| Object | dynastic marriages |
—
|
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: dynastic marriages | Statement: [Princess of Leuchtenberg, maritalAllianceRole, dynastic marriages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maritalAllianceRole Context triple: [Princess of Leuchtenberg, maritalAllianceRole, dynastic marriages]
-
A.
marriageAllianceWith
Indicates a formal marital union established between two parties to create or strengthen a political, social, or strategic alliance.
-
B.
realmOfMarriageAlliance
Indicates a relationship where a marriage alliance is formed or exists within, or under the authority of, a particular realm or political domain.
-
C.
rivalForMarriageOf
Indicates that one entity is a romantic competitor with another entity for the opportunity to marry a specific third entity.
-
D.
maritalRelations
Indicates a legally or socially recognized spousal relationship or marriage-based connection between two entities.
-
E.
spouseOfRole
Indicates that one role is the spouse (husband, wife, or equivalent marital partner) of another role.
- 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_69f03198be14819098fa74e48b3749bf |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f66e5f7e30819094530abceabd5f43 |
completed | May 2, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66d75a8788190aa9ca2c977429045 |
completed | May 2, 2026, 9:32 p.m. |
Created at: April 28, 2026, 6:13 a.m.