Triple
T6852131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angela Hitler |
E158044
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Franziska Matzelsberger |
E182160
|
NE 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: Franziska Matzelsberger | Statement: [Angela Hitler, mother, Franziska Matzelsberger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Franziska Matzelsberger Context triple: [Angela Hitler, mother, Franziska Matzelsberger]
-
A.
Franziska Matzelsberger
chosen
Franziska Matzelsberger was the second wife of Alois Hitler and the stepmother of Adolf Hitler.
-
B.
Angelika Dittrich
Angelika Dittrich was the third wife of the famous Austrian composer Johann Strauss II.
-
C.
Franziska Braun
Franziska Braun was the wife of German physician Friedrich Braun, known primarily through this marital connection.
-
D.
Franziska Kronberger
Franziska Kronberger was the mother of Eva Braun, the longtime companion and brief wife of Adolf Hitler.
-
E.
Johanna Pfaelzer
Johanna Pfaelzer is an American theatre producer and arts leader known for her work developing new plays and serving in top artistic leadership roles at major regional theatres.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6882fae988190864cbba788c5ebb4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d84e6fb08190915954be5b0df2d8 |
completed | March 27, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c758371abc81908908b1ab8538f54e |
completed | March 28, 2026, 4:25 a.m. |
Created at: March 27, 2026, 2:20 p.m.