Triple
T7521685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christiane Herzog |
E177784
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Christiane Herzog |
E177784
|
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: Christiane Herzog | Statement: [Christiane Herzog, name, Christiane Herzog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christiane Herzog Context triple: [Christiane Herzog, name, Christiane Herzog]
-
A.
Christiane Herzog
chosen
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.
-
B.
Therese Giehse
Therese Giehse was a prominent German stage and film actress, renowned for her powerful performances in works by Bertolt Brecht and for her opposition to the Nazi regime.
-
C.
Johanna Hiedler
Johanna Hiedler was an Austrian woman of the 19th century known primarily as the maternal grandmother of Adolf Hitler.
-
D.
Ute Grunert
Ute Grunert is known as the spouse of Nobel Prize–winning German author Günter Grass.
-
E.
Karin Huber
Karin Huber is a person notable enough to be recognized as a significant bearer of the surname Huber.
- 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_69c69f29bf3081909a146aec7755f185 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f7c3c4c08190ad418978afcc98ec |
completed | March 27, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856b10cbc8190a36be8351feaf832 |
completed | March 28, 2026, 10:31 p.m. |
Created at: March 27, 2026, 3:46 p.m.