Triple

T11475253
Position Surface form Disambiguated ID Type / Status
Subject Leopold, Prince of Anhalt-Cöthen E272009 entity
Predicate child P120 FINISHED
Object Gisela Agnes, Princess of Anhalt-Cöthen
Gisela Agnes, Princess of Anhalt-Cöthen, was a German noblewoman of the House of Anhalt and the mother of Leopold, Prince of Anhalt-Cöthen, noted for her role in the dynastic politics of early 18th-century Anhalt.
 E941310 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: Gisela Agnes, Princess of Anhalt-Cöthen | Statement: [Leopold, Prince of Anhalt-Cöthen, child, Gisela Agnes, Princess of Anhalt-Cöthen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gisela Agnes, Princess of Anhalt-Cöthen
Context triple: [Leopold, Prince of Anhalt-Cöthen, child, Gisela Agnes, Princess of Anhalt-Cöthen]
  • A. Elisabeth, Princess of Anhalt-Zerbst
    Elisabeth, Princess of Anhalt-Zerbst was an 18th-century German princess from the House of Ascania, known primarily as a member of the minor princely family that produced Catherine the Great of Russia.
  • B. Princess Marianne of Prussia
    Princess Marianne of Prussia was a 19th-century Prussian royal and art patron known for her extensive cultural interests and ownership of notable European estates.
  • C. Princess Anna of Saxe-Weimar-Eisenach
    Princess Anna of Saxe-Weimar-Eisenach was a 19th-century German princess from the ducal house of Saxe-Weimar-Eisenach who became part of the Dutch royal family through her marriage to Prince Hendrik of the Netherlands.
  • D. Carlotta of Prussia
    Carlotta of Prussia was a Prussian princess of the 19th century, known for her connections to European royal families and as the namesake of Villa Carlotta on Lake Como.
  • E. Princess Reuss of Greiz
    Princess Reuss of Greiz is the noble title held by Hermine Reuss of Greiz, a German aristocrat who later became the second wife of former Kaiser Wilhelm II of Germany.
  • 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: Gisela Agnes, Princess of Anhalt-Cöthen
Triple: [Leopold, Prince of Anhalt-Cöthen, child, Gisela Agnes, Princess of Anhalt-Cöthen]
Generated description
Gisela Agnes, Princess of Anhalt-Cöthen, was a German noblewoman of the House of Anhalt and the mother of Leopold, Prince of Anhalt-Cöthen, noted for her role in the dynastic politics of early 18th-century Anhalt.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gisela Agnes, Princess of Anhalt-Cöthen
Target entity description: Gisela Agnes, Princess of Anhalt-Cöthen, was a German noblewoman of the House of Anhalt and the mother of Leopold, Prince of Anhalt-Cöthen, noted for her role in the dynastic politics of early 18th-century Anhalt.
  • A. Elisabeth, Princess of Anhalt-Zerbst
    Elisabeth, Princess of Anhalt-Zerbst was an 18th-century German princess from the House of Ascania, known primarily as a member of the minor princely family that produced Catherine the Great of Russia.
  • B. Princess Marianne of Prussia
    Princess Marianne of Prussia was a 19th-century Prussian royal and art patron known for her extensive cultural interests and ownership of notable European estates.
  • C. Princess Anna of Saxe-Weimar-Eisenach
    Princess Anna of Saxe-Weimar-Eisenach was a 19th-century German princess from the ducal house of Saxe-Weimar-Eisenach who became part of the Dutch royal family through her marriage to Prince Hendrik of the Netherlands.
  • D. Carlotta of Prussia
    Carlotta of Prussia was a Prussian princess of the 19th century, known for her connections to European royal families and as the namesake of Villa Carlotta on Lake Como.
  • E. Princess Reuss of Greiz
    Princess Reuss of Greiz is the noble title held by Hermine Reuss of Greiz, a German aristocrat who later became the second wife of former Kaiser Wilhelm II of Germany.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8294c8dc48190a515f83c99405a3b completed April 9, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69ef8201715c819090cbd7c1e3068bdd completed April 27, 2026, 3:34 p.m.
NEDg Description generation batch_69ef96ab29d48190b225504856007384 completed April 27, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_69efd64bfa7081909715aa64d80fadf3 completed April 27, 2026, 9:34 p.m.
Created at: April 8, 2026, 9:36 p.m.