Triple
T15170464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gertrud Scholtz-Klink |
E362471
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Scholtz-Klink
Scholtz-Klink is the surname of Gertrud Scholtz-Klink, who served as the leader of the National Socialist Women's League in Nazi Germany.
|
E1142525
|
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: Scholtz-Klink | Statement: [Gertrud Scholtz-Klink, familyName, Scholtz-Klink]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scholtz-Klink Context triple: [Gertrud Scholtz-Klink, familyName, Scholtz-Klink]
-
A.
Greifelt
Greifelt is a German surname most notably associated with Ulrich Greifelt, a high-ranking official in Nazi Germany.
-
B.
Bohlweg
Bohlweg is a major central street in Braunschweig, Germany, known as an important urban thoroughfare and commercial area.
-
C.
Scheibenhof
Scheibenhof is a locality or district that forms part of the city of Krems an der Donau in Lower Austria.
-
D.
Saalhof
Saalhof is a historic medieval building complex in Frankfurt am Main that forms part of the city’s museum landscape and reflects its architectural and urban history.
-
E.
Baar-Ebenhausen
Baar-Ebenhausen is a Bavarian municipality in southern Germany known for its residential character and location along the Ilm River.
- 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: Scholtz-Klink Triple: [Gertrud Scholtz-Klink, familyName, Scholtz-Klink]
Generated description
Scholtz-Klink is the surname of Gertrud Scholtz-Klink, who served as the leader of the National Socialist Women's League in Nazi Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Scholtz-Klink Target entity description: Scholtz-Klink is the surname of Gertrud Scholtz-Klink, who served as the leader of the National Socialist Women's League in Nazi Germany.
-
A.
Greifelt
Greifelt is a German surname most notably associated with Ulrich Greifelt, a high-ranking official in Nazi Germany.
-
B.
Bohlweg
Bohlweg is a major central street in Braunschweig, Germany, known as an important urban thoroughfare and commercial area.
-
C.
Scheibenhof
Scheibenhof is a locality or district that forms part of the city of Krems an der Donau in Lower Austria.
-
D.
Saalhof
Saalhof is a historic medieval building complex in Frankfurt am Main that forms part of the city’s museum landscape and reflects its architectural and urban history.
-
E.
Baar-Ebenhausen
Baar-Ebenhausen is a Bavarian municipality in southern Germany known for its residential character and location along the Ilm River.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064ec56481909f11fa6e5686f076 |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec889c3408190bdfc75ce72dd5a62 |
completed | May 9, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_69fec93109c08190a3499e4520e31604 |
completed | May 9, 2026, 5:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fecc6fa8f88190aa6956e6e2b1f8ab |
completed | May 9, 2026, 5:55 a.m. |
Created at: April 10, 2026, 3:08 a.m.