Triple
T7903441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emmy Göring |
E183511
|
entity |
| Predicate | maidenName |
P18
|
FINISHED |
| Object | Sonnemann |
E183511
|
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: Sonnemann | Statement: [Emmy Göring, maidenName, Sonnemann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sonnemann Context triple: [Emmy Göring, maidenName, Sonnemann]
-
A.
Sonnemann
chosen
Sonnemann is the maiden surname of Emmy Göring, the German actress who became the second wife of Nazi leader Hermann Göring.
-
B.
Duttweiler
Duttweiler is a village and local district (Ortsteil) of Neustadt an der Weinstraße in the Rhineland-Palatinate wine-growing region of Germany.
-
C.
Dietl
Dietl is a German surname most notably associated with Eduard Dietl, a World War II German general.
-
D.
Vuchetich
Vuchetich is a Russian surname most notably borne by Soviet sculptor Yevgeny Vuchetich, renowned for his monumental war memorials.
-
E.
Mommsen
Mommsen is a German surname most famously associated with Theodor Mommsen, the Nobel Prize–winning historian and scholar of ancient Rome.
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a41b0fc81909890f2e4f432a5cf |
completed | March 31, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc5634f3c48190a801945317e4883d |
completed | March 31, 2026, 11:18 p.m. |
Created at: March 30, 2026, 5:02 p.m.