Triple
T11862017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Artur Schnabel |
E282181
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Therese Behr-Schnabel
Therese Behr-Schnabel was a distinguished German contralto and influential voice teacher active in the late 19th and early 20th centuries.
|
E963792
|
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: Therese Behr-Schnabel | Statement: [Artur Schnabel, spouse, Therese Behr-Schnabel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Therese Behr-Schnabel Context triple: [Artur Schnabel, spouse, Therese Behr-Schnabel]
-
A.
Therese Weiss
Therese Weiss was the wife of the influential German classical scholar and archaeologist Christian Gottlob Heyne.
-
B.
Gjertrud Schnackenberg
Gjertrud Schnackenberg is an American poet acclaimed for her intellectually rich, formally intricate verse and contributions to contemporary literature.
-
C.
Traute Becker
Traute Becker was the wife of Armin, Prince of Lippe, and thus a member of the German princely House of Lippe.
-
D.
Cornelia Seibeld
Cornelia Seibeld is a German politician who serves as the President (speaker) of the Berlin state parliament, the Abgeordnetenhaus von Berlin.
-
E.
Elisabeth Eberl
Elisabeth Eberl is an Austrian javelin thrower who has competed internationally, including at major European and world athletics events.
- 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: Therese Behr-Schnabel Triple: [Artur Schnabel, spouse, Therese Behr-Schnabel]
Generated description
Therese Behr-Schnabel was a distinguished German contralto and influential voice teacher active in the late 19th and early 20th centuries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Therese Behr-Schnabel Target entity description: Therese Behr-Schnabel was a distinguished German contralto and influential voice teacher active in the late 19th and early 20th centuries.
-
A.
Therese Weiss
Therese Weiss was the wife of the influential German classical scholar and archaeologist Christian Gottlob Heyne.
-
B.
Gjertrud Schnackenberg
Gjertrud Schnackenberg is an American poet acclaimed for her intellectually rich, formally intricate verse and contributions to contemporary literature.
-
C.
Traute Becker
Traute Becker was the wife of Armin, Prince of Lippe, and thus a member of the German princely House of Lippe.
-
D.
Cornelia Seibeld
Cornelia Seibeld is a German politician who serves as the President (speaker) of the Berlin state parliament, the Abgeordnetenhaus von Berlin.
-
E.
Elisabeth Eberl
Elisabeth Eberl is an Austrian javelin thrower who has competed internationally, including at major European and world athletics events.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a69b16bc8190999a0c1240f9ce6a |
completed | April 10, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6366adc8190b5c8163af684afde |
completed | May 2, 2026, 1:03 p.m. |
| NEDg | Description generation | batch_69f5fed2d57881908103ce89a365cdd4 |
completed | May 2, 2026, 1:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f600bcaf288190b6204f985d3be638 |
completed | May 2, 2026, 1:48 p.m. |
Created at: April 8, 2026, 9:43 p.m.