Triple
T7720956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Günter Grass |
E175007
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Ute Grunert |
E175007
|
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: Ute Grunert | Statement: [Günter Grass, spouse, Ute Grunert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ute Grunert Context triple: [Günter Grass, spouse, Ute Grunert]
-
A.
Ute Grunert
chosen
Ute Grunert is known as the spouse of Nobel Prize–winning German author Günter Grass.
-
B.
Angelika Schlunck
Angelika Schlunck is a German legal and political official who serves as a State Secretary in the Federal Ministry of Justice.
-
C.
Angelika Dittrich
Angelika Dittrich was the third wife of the famous Austrian composer Johann Strauss II.
-
D.
Carolin Emcke
Carolin Emcke is a German journalist, author, and public intellectual known for her writings on violence, human rights, and social justice.
-
E.
Christiane Herzog
Christiane Herzog was a German First Lady and philanthropist known for her social engagement, particularly in support of cystic fibrosis patients, during and after her husband Roman Herzog’s presidency.
- 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_69c6995d541c81909eaa646b1a8369a9 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702f0366c8190a78f0b03f090fc2c |
completed | March 27, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7beffc48190b39048b6afc1d644 |
completed | March 29, 2026, 6:33 a.m. |
Created at: March 27, 2026, 4:05 p.m.