Triple
T3274707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilse Braun |
E68731
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Franziska Braun |
E359884
|
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 Braun | Statement: [Ilse Braun, relative, Franziska Braun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Franziska Braun Context triple: [Ilse Braun, relative, Franziska Braun]
-
A.
Franziska Braun
chosen
Franziska Braun was the wife of German physician Friedrich Braun, known primarily through this marital connection.
-
B.
Luisa Neubauer
Luisa Neubauer is a prominent German climate activist and leading organizer of the Fridays for Future movement in Germany.
-
C.
Eva Schubach
Eva Schubach is known as a former spouse of Gerhard Schröder, the one-time Chancellor of Germany.
-
D.
Gjertrud Schnackenberg
Gjertrud Schnackenberg is an American poet acclaimed for her intellectually rich, formally intricate verse and contributions to contemporary literature.
-
E.
Nena von Schlebrügge
Nena von Schlebrügge is a Swedish-born former fashion model of German and Swedish descent who worked internationally in the 1950s and 1960s and is the mother of actress Uma Thurman.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adaff8a440819092509bc8511b2785 |
completed | March 8, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b402bcf7ec8190a7f0b7c0cc45e2f8 |
completed | March 13, 2026, 12:27 p.m. |
Created at: March 8, 2026, 3:10 p.m.