Triple
T2823123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Magdalena Bach |
E54855
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object |
Prince Leopold of Anhalt-Köthen
Prince Leopold of Anhalt-Köthen was an early 18th-century German nobleman and music patron best known for employing Johann Sebastian Bach as his Kapellmeister.
|
E301067
|
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: Prince Leopold of Anhalt-Köthen | Statement: [Anna Magdalena Bach, employer, Prince Leopold of Anhalt-Köthen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prince Leopold of Anhalt-Köthen Context triple: [Anna Magdalena Bach, employer, Prince Leopold of Anhalt-Köthen]
-
A.
Prince Albrecht of Prussia
Prince Albrecht of Prussia was a 19th-century Prussian prince and general of the Hohenzollern dynasty who played a prominent role in the military and political life of the Kingdom of Prussia.
-
B.
Charles Frederick, Duke of Holstein-Gottorp
Charles Frederick, Duke of Holstein-Gottorp, was an 18th-century German prince whose marriage into the Russian imperial family positioned his descendants, including his son Peter III, in the line of succession to the Russian throne.
-
C.
Prince Charles of Hesse-Kassel
Prince Charles of Hesse-Kassel was an 18th-century German landgrave and Danish field marshal known for his military service in the Danish army and his influential role within European nobility.
-
D.
George Frederick of Waldeck
George Frederick of Waldeck was a 17th-century German prince and military commander noted for leading imperial forces in major conflicts against the Ottoman Empire and in European power struggles.
-
E.
Prince George of Hesse-Darmstadt
Prince George of Hesse-Darmstadt was a German prince and military commander in Habsburg service, noted for his role in the War of the Spanish Succession and campaigns in Spain and the Low Countries.
- 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: Prince Leopold of Anhalt-Köthen Triple: [Anna Magdalena Bach, employer, Prince Leopold of Anhalt-Köthen]
Generated description
Prince Leopold of Anhalt-Köthen was an early 18th-century German nobleman and music patron best known for employing Johann Sebastian Bach as his Kapellmeister.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prince Leopold of Anhalt-Köthen Target entity description: Prince Leopold of Anhalt-Köthen was an early 18th-century German nobleman and music patron best known for employing Johann Sebastian Bach as his Kapellmeister.
-
A.
Prince Albrecht of Prussia
Prince Albrecht of Prussia was a 19th-century Prussian prince and general of the Hohenzollern dynasty who played a prominent role in the military and political life of the Kingdom of Prussia.
-
B.
Charles Frederick, Duke of Holstein-Gottorp
Charles Frederick, Duke of Holstein-Gottorp, was an 18th-century German prince whose marriage into the Russian imperial family positioned his descendants, including his son Peter III, in the line of succession to the Russian throne.
-
C.
Prince Charles of Hesse-Kassel
Prince Charles of Hesse-Kassel was an 18th-century German landgrave and Danish field marshal known for his military service in the Danish army and his influential role within European nobility.
-
D.
George Frederick of Waldeck
George Frederick of Waldeck was a 17th-century German prince and military commander noted for leading imperial forces in major conflicts against the Ottoman Empire and in European power struggles.
-
E.
Prince George of Hesse-Darmstadt
Prince George of Hesse-Darmstadt was a German prince and military commander in Habsburg service, noted for his role in the War of the Spanish Succession and campaigns in Spain and the Low Countries.
- 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_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde71fdc08190b18660261fe24adf |
completed | March 7, 2026, 8:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afceaa45e88190a9007885cf7868ef |
completed | March 10, 2026, 7:56 a.m. |
| NEDg | Description generation | batch_69afcf138c00819087913972df96f5ad |
completed | March 10, 2026, 7:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afcf8d0318819088f9abd895f8ba0a |
completed | March 10, 2026, 8 a.m. |
Created at: March 6, 2026, 9:59 p.m.