Triple

T3509980
Position Surface form Disambiguated ID Type / Status
Subject Princess Sophie of the Netherlands E74171 entity
Predicate child P120 FINISHED
Object Prince Wilhelm of Saxe-Weimar-Eisenach
Prince Wilhelm of Saxe-Weimar-Eisenach was a 19th-century German prince of the House of Saxe-Weimar-Eisenach who, through his mother Princess Sophie of the Netherlands, was closely connected to both the Dutch and German royal families.
E469611 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 Wilhelm of Saxe-Weimar-Eisenach | Statement: [Princess Sophie of the Netherlands, child, Prince Wilhelm of Saxe-Weimar-Eisenach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prince Wilhelm of Saxe-Weimar-Eisenach
Context triple: [Princess Sophie of the Netherlands, child, Prince Wilhelm of Saxe-Weimar-Eisenach]
  • A. Prince Heinrich of Prussia
    Prince Heinrich of Prussia was a German royal prince and naval officer who became one of the leading admirals of the Imperial German Navy in the late 19th and early 20th centuries.
  • B. German Crown Prince Wilhelm
    German Crown Prince Wilhelm was the heir to the German throne during World War I and a senior military leader who played a prominent role in several major campaigns on the Western Front.
  • C. Prince William of Prussia
    Prince William of Prussia was the Prussian royal who became the first German Emperor (Kaiser) and King of Prussia, playing a central role in the unification of Germany in 1871.
  • D. Friedrich of Hesse and by Rhine
    Friedrich of Hesse and by Rhine was a young German prince of the House of Hesse-Darmstadt, notable mainly as a son of Louis IV, Grand Duke of Hesse, and for dying in childhood.
  • E. 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.
  • 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 Wilhelm of Saxe-Weimar-Eisenach
Triple: [Princess Sophie of the Netherlands, child, Prince Wilhelm of Saxe-Weimar-Eisenach]
Generated description
Prince Wilhelm of Saxe-Weimar-Eisenach was a 19th-century German prince of the House of Saxe-Weimar-Eisenach who, through his mother Princess Sophie of the Netherlands, was closely connected to both the Dutch and German royal families.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Prince Wilhelm of Saxe-Weimar-Eisenach
Target entity description: Prince Wilhelm of Saxe-Weimar-Eisenach was a 19th-century German prince of the House of Saxe-Weimar-Eisenach who, through his mother Princess Sophie of the Netherlands, was closely connected to both the Dutch and German royal families.
  • A. Prince Heinrich of Prussia
    Prince Heinrich of Prussia was a German royal prince and naval officer who became one of the leading admirals of the Imperial German Navy in the late 19th and early 20th centuries.
  • B. German Crown Prince Wilhelm
    German Crown Prince Wilhelm was the heir to the German throne during World War I and a senior military leader who played a prominent role in several major campaigns on the Western Front.
  • C. Prince William of Prussia
    Prince William of Prussia was the Prussian royal who became the first German Emperor (Kaiser) and King of Prussia, playing a central role in the unification of Germany in 1871.
  • D. Friedrich of Hesse and by Rhine
    Friedrich of Hesse and by Rhine was a young German prince of the House of Hesse-Darmstadt, notable mainly as a son of Louis IV, Grand Duke of Hesse, and for dying in childhood.
  • E. 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.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc0e1f0c8190b054d9fba16ce4b3 completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43705d708190abea669829ef2970 completed March 21, 2026, 7:06 a.m.
NEDg Description generation batch_69be4544ebe88190a2391484ac3ab18d completed March 21, 2026, 7:14 a.m.
NED2 Entity disambiguation (via description) batch_69be45bc7b2c8190aa293d2c10077864 completed March 21, 2026, 7:16 a.m.
Created at: March 8, 2026, 3:18 p.m.