Triple
T26507061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christiane Eberhardine of Brandenburg-Bayreuth |
E669574
|
entity |
| Predicate | spouseConvertedFor |
P173683
|
FINISHED |
| Object | Polish crown |
—
|
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: Polish crown | Statement: [Christiane Eberhardine of Brandenburg-Bayreuth, spouseConvertedFor, Polish crown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseConvertedFor Context triple: [Christiane Eberhardine of Brandenburg-Bayreuth, spouseConvertedFor, Polish crown]
-
A.
spouseBeforeConversion
Indicates that one person was the spouse of another prior to a specified religious or ideological conversion.
-
B.
spouseTransformedInto
Indicates that one spouse in a marital relationship has been changed or converted into a different form, state, or entity.
-
C.
spouseLaterNationality
Indicates that a person’s spouse held or acquired a particular nationality at a later point in time than the reference period.
-
D.
spouseType
Indicates the specific role or category of a person within a spousal relationship (e.g., husband, wife, partner).
-
E.
spouseRecognition
Indicates that one entity formally acknowledges another entity as their spouse within a recognized relationship.
- 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_69eeb319ec70819090834c2591cf5f1e |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f6b9a84ff88190ab5a71f7ef1e0dac |
completed | May 3, 2026, 2:57 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
| PDg | Predicate description generation | batch_69f6b8fe147881908ba17483c7b13f05 |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 27, 2026, 1:17 a.m.