Triple
T17781451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Therese Behr-Schnabel |
E443908
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Behr-Schnabel
Behr-Schnabel is the hyphenated surname associated with the German contralto and renowned Lieder singer Therese Behr-Schnabel.
|
E1288664
|
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: Behr-Schnabel | Statement: [Therese Behr-Schnabel, familyName, Behr-Schnabel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Behr-Schnabel Context triple: [Therese Behr-Schnabel, familyName, Behr-Schnabel]
-
A.
Kohl-Richter
Kohl-Richter is the hyphenated surname of Maike Kohl-Richter, the second wife of former German Chancellor Helmut Kohl.
-
B.
Hilberseimer
Hilberseimer is the surname of Ludwig Hilberseimer, a German-American architect and urban planner known for his influential modernist city planning theories.
-
C.
Stottlemeyer
Stottlemeyer is the surname of Captain Leland Stottlemeyer, a central police character from the television series "Monk."
-
D.
Brinkman
Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
-
E.
Sesemann
Sesemann is the family surname of Klara Sesemann, a central character in Johanna Spyri’s classic children’s novel "Heidi."
- 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: Behr-Schnabel Triple: [Therese Behr-Schnabel, familyName, Behr-Schnabel]
Generated description
Behr-Schnabel is the hyphenated surname associated with the German contralto and renowned Lieder singer Therese Behr-Schnabel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Behr-Schnabel Target entity description: Behr-Schnabel is the hyphenated surname associated with the German contralto and renowned Lieder singer Therese Behr-Schnabel.
-
A.
Kohl-Richter
Kohl-Richter is the hyphenated surname of Maike Kohl-Richter, the second wife of former German Chancellor Helmut Kohl.
-
B.
Hilberseimer
Hilberseimer is the surname of Ludwig Hilberseimer, a German-American architect and urban planner known for his influential modernist city planning theories.
-
C.
Stottlemeyer
Stottlemeyer is the surname of Captain Leland Stottlemeyer, a central police character from the television series "Monk."
-
D.
Brinkman
Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
-
E.
Sesemann
Sesemann is the family surname of Klara Sesemann, a central character in Johanna Spyri’s classic children’s novel "Heidi."
- 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4872152508190870a1765e0972ec1 |
completed | April 19, 2026, 7:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02f833fe708190bccfe236aee94b2a |
completed | May 12, 2026, 9:51 a.m. |
| NEDg | Description generation | batch_6a02fc2255008190834686f8dc9c33f9 |
completed | May 12, 2026, 10:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02fce3a4488190a1efd6d335706edf |
completed | May 12, 2026, 10:11 a.m. |
Created at: April 10, 2026, 10:12 a.m.