Triple
T1614932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emmy Göring |
E34694
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Sonnemann
Sonnemann is the maiden surname of Emmy Göring, the German actress who became the second wife of Nazi leader Hermann Göring.
|
E183511
|
NE FINISHED |
How this triple was built (4 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, familyName, Sonnemann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sonnemann Context triple: [Emmy Göring, familyName, Sonnemann]
-
A.
Mommsen
Mommsen is a German surname most famously associated with Theodor Mommsen, the Nobel Prize–winning historian and scholar of ancient Rome.
-
B.
Günther
Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
-
C.
Wolthusen
Wolthusen is a district of the seaport city of Emden in Lower Saxony, Germany, known for its residential character and proximity to the Ems estuary.
-
D.
Hölldobler
Hölldobler is a German surname most notably associated with Bert Hölldobler, a prominent behavioral ecologist and myrmecologist known for his research on ants.
-
E.
Heidkrüger
Heidkrüger is the original German surname of actress and former fashion model Diane Kruger.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sonnemann Triple: [Emmy Göring, familyName, Sonnemann]
Generated description
Sonnemann is the maiden surname of Emmy Göring, the German actress who became the second wife of Nazi leader Hermann Göring.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sonnemann Target entity description: Sonnemann is the maiden surname of Emmy Göring, the German actress who became the second wife of Nazi leader Hermann Göring.
-
A.
Mommsen
Mommsen is a German surname most famously associated with Theodor Mommsen, the Nobel Prize–winning historian and scholar of ancient Rome.
-
B.
Günther
Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
-
C.
Wolthusen
Wolthusen is a district of the seaport city of Emden in Lower Saxony, Germany, known for its residential character and proximity to the Ems estuary.
-
D.
Hölldobler
Hölldobler is a German surname most notably associated with Bert Hölldobler, a prominent behavioral ecologist and myrmecologist known for his research on ants.
-
E.
Heidkrüger
Heidkrüger is the original German surname of actress and former fashion model Diane Kruger.
- F. None of above. chosen
Provenance (5 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_69a885ffc5ec819091afa325d5f9611c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9098f384c81909ef836ee779466e2 |
completed | March 5, 2026, 4:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad51ca2bc48190abb83f4d84782334 |
completed | March 8, 2026, 10:39 a.m. |
| NEDg | Description generation | batch_69ad55d41c048190a2d85dc19bc56242 |
completed | March 8, 2026, 10:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad564aed808190a58dbf3a84780255 |
completed | March 8, 2026, 10:58 a.m. |
Created at: March 4, 2026, 7:28 p.m.