Triple
T3309606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Marianne of the Netherlands |
E69537
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Prince Albert of Prussia
Prince Albert of Prussia was a 19th-century Prussian prince, military officer, and member of the Hohenzollern dynasty who played a notable role in the political and social life of the Kingdom of Prussia.
|
E359198
|
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 Albert of Prussia | Statement: [Princess Marianne of the Netherlands, spouse, Prince Albert of Prussia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prince Albert of Prussia Context triple: [Princess Marianne of the Netherlands, spouse, Prince Albert of Prussia]
-
A.
Prince Coburg of Saxe-Coburg-Saalfeld
Prince Coburg of Saxe-Coburg-Saalfeld was an 18th-century Austrian field marshal and nobleman who played a leading role in the early wars against Revolutionary France.
-
B.
Prince Albert of Saxe-Coburg and Gotha
Prince Albert of Saxe-Coburg and Gotha was the German-born husband of Queen Victoria and Prince Consort of the United Kingdom, known for his influence on British public life, education, and the arts in the 19th century.
-
C.
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.
-
D.
Prince Ferdinand of Brunswick
Prince Ferdinand of Brunswick was an 18th-century Prussian field marshal renowned for leading Allied forces against the French in Western Germany during the Seven Years' War.
-
E.
Prince of Saxe-Coburg and Gotha
The Prince of Saxe-Coburg and Gotha was a noble title within the German ducal House of Saxe-Coburg and Gotha, whose members played prominent roles in various European monarchies.
- 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 Albert of Prussia Triple: [Princess Marianne of the Netherlands, spouse, Prince Albert of Prussia]
Generated description
Prince Albert of Prussia was a 19th-century Prussian prince, military officer, and member of the Hohenzollern dynasty who played a notable role in the political and social life of the Kingdom of Prussia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prince Albert of Prussia Target entity description: Prince Albert of Prussia was a 19th-century Prussian prince, military officer, and member of the Hohenzollern dynasty who played a notable role in the political and social life of the Kingdom of Prussia.
-
A.
Prince Coburg of Saxe-Coburg-Saalfeld
Prince Coburg of Saxe-Coburg-Saalfeld was an 18th-century Austrian field marshal and nobleman who played a leading role in the early wars against Revolutionary France.
-
B.
Prince Albert of Saxe-Coburg and Gotha
Prince Albert of Saxe-Coburg and Gotha was the German-born husband of Queen Victoria and Prince Consort of the United Kingdom, known for his influence on British public life, education, and the arts in the 19th century.
-
C.
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.
-
D.
Prince Ferdinand of Brunswick
Prince Ferdinand of Brunswick was an 18th-century Prussian field marshal renowned for leading Allied forces against the French in Western Germany during the Seven Years' War.
-
E.
Prince of Saxe-Coburg and Gotha
The Prince of Saxe-Coburg and Gotha was a noble title within the German ducal House of Saxe-Coburg and Gotha, whose members played prominent roles in various European monarchies.
- 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_69ad859f218081909458d2cebbf57565 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0eb6dd08190bab1ce80f417966a |
completed | March 8, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3609bd0d48190838df7dd7cbca159 |
completed | March 13, 2026, 12:55 a.m. |
| NEDg | Description generation | batch_69b3627bb1e48190a51b3bafccefa03e |
completed | March 13, 2026, 1:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b362ceeab481909c92fb885f477d3c |
completed | March 13, 2026, 1:05 a.m. |
Created at: March 8, 2026, 3:11 p.m.