Triple
T11967200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luther family |
E284818
|
entity |
| Predicate | marriageFormedBy |
P102547
|
FINISHED |
| Object | marriage of Martin Luther and Katharina von Bora |
—
|
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: marriage of Martin Luther and Katharina von Bora | Statement: [Luther family, marriageFormedBy, marriage of Martin Luther and Katharina von Bora]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageFormedBy Context triple: [Luther family, marriageFormedBy, marriage of Martin Luther and Katharina von Bora]
-
A.
marriageAllianceWith
Indicates a formal marital union established between two parties to create or strengthen a political, social, or strategic alliance.
-
B.
marriageResolvedBy
Indicates that a marital relationship between two parties has been formally concluded or dissolved through a specific resolving action or process (e.g., divorce, annulment).
-
C.
marriedBy
Indicates that one entity is the officiant or authority who performs and formalizes the marriage of another entity.
-
D.
marries
Indicates that one entity enters into a legally or socially recognized marital union with another entity.
-
E.
marriedOn
Indicates that a marriage event took place on a specific date for the related entities.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9037adf5881908abe1a4e64a71f20 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb40f30c8190a0e0719bd67542bf |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8dd0ba0f88190b7d5e358c27ca184 |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 8, 2026, 9:46 p.m.