Triple
T539730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eva Braun |
E12602
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Margarete Braun |
E68731
|
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: Margarete Braun | Statement: [Eva Braun, sibling, Margarete Braun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margarete Braun Context triple: [Eva Braun, sibling, Margarete Braun]
-
A.
Ilse Braun
chosen
Ilse Braun was the elder sister of Eva Braun and a member of the Braun family closely associated with Adolf Hitler’s inner social circle in Nazi Germany.
-
B.
Truida Pohl
Truida Pohl was the wife of prominent Afrikaans poet and intellectual N. P. van Wyk Louw.
-
C.
Elsa Löwenthal
Elsa Löwenthal, better known as Elsa Einstein, was the second wife and cousin of physicist Albert Einstein and often managed his personal and social affairs.
-
D.
Maryla Husyt Finkelstein
Maryla Husyt Finkelstein was a Holocaust survivor and the mother of American political scientist and author Norman Finkelstein.
-
E.
Käthe Jerosch
Käthe Jerosch was the wife of the influential German mathematician David Hilbert and a member of the academic social circles in Göttingen in the late 19th and early 20th centuries.
- 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a496dd31c88190b3114805aa31931c |
completed | March 1, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4e3f3f4e08190a625ae085868b191 |
completed | March 2, 2026, 1:12 a.m. |
Created at: March 1, 2026, 7:32 p.m.