Triple

T7626171
Position Surface form Disambiguated ID Type / Status
Subject Princess Helena of the United Kingdom E172636 entity
Predicate child P120 FINISHED
Object Princess Marie Louise of Schleswig-Holstein
Princess Marie Louise of Schleswig-Holstein was a granddaughter of Queen Victoria and a prominent member of the British royal family known for her charitable work and close ties to the court of King George V.
E749804 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: Princess Marie Louise of Schleswig-Holstein | Statement: [Princess Helena of the United Kingdom, child, Princess Marie Louise of Schleswig-Holstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Princess Marie Louise of Schleswig-Holstein
Context triple: [Princess Helena of the United Kingdom, child, Princess Marie Louise of Schleswig-Holstein]
  • A. Princess Marie of Waldeck and Pyrmont
    Princess Marie of Waldeck and Pyrmont was a 19th-century German princess from the House of Waldeck and Pyrmont, known primarily as a member of this minor German princely family connected by marriage to several European royal houses.
  • B. Princess Marie Alexandrine of Saxe-Weimar-Eisenach
    Princess Marie Alexandrine of Saxe-Weimar-Eisenach was a 19th-century German princess of the House of Saxe-Weimar-Eisenach, notable for her dynastic connections to both German and Dutch royalty.
  • C. Princess Marie of Hohenzollern-Sigmaringen
    Princess Marie of Hohenzollern-Sigmaringen was a 19th-century German princess of the Hohenzollern-Sigmaringen dynasty who became Queen of the Belgians as the wife of King Leopold II and the mother of King Albert I.
  • D. Princess Marie of Hesse and by Rhine
    Princess Marie of Hesse and by Rhine was a German princess of the House of Hesse and by Rhine, a granddaughter of Queen Victoria who died in childhood from diphtheria.
  • E. Princess Juliane of Saxe-Coburg-Saalfeld
    Princess Juliane of Saxe-Coburg-Saalfeld was a German noblewoman of the House of Wettin who became Grand Duchess Anna Feodorovna of Russia through her brief and unhappy marriage to Grand Duke Konstantin Pavlovich.
  • 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: Princess Marie Louise of Schleswig-Holstein
Triple: [Princess Helena of the United Kingdom, child, Princess Marie Louise of Schleswig-Holstein]
Generated description
Princess Marie Louise of Schleswig-Holstein was a granddaughter of Queen Victoria and a prominent member of the British royal family known for her charitable work and close ties to the court of King George V.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Princess Marie Louise of Schleswig-Holstein
Target entity description: Princess Marie Louise of Schleswig-Holstein was a granddaughter of Queen Victoria and a prominent member of the British royal family known for her charitable work and close ties to the court of King George V.
  • A. Princess Marie of Waldeck and Pyrmont
    Princess Marie of Waldeck and Pyrmont was a 19th-century German princess from the House of Waldeck and Pyrmont, known primarily as a member of this minor German princely family connected by marriage to several European royal houses.
  • B. Princess Marie Alexandrine of Saxe-Weimar-Eisenach
    Princess Marie Alexandrine of Saxe-Weimar-Eisenach was a 19th-century German princess of the House of Saxe-Weimar-Eisenach, notable for her dynastic connections to both German and Dutch royalty.
  • C. Princess Marie of Hohenzollern-Sigmaringen
    Princess Marie of Hohenzollern-Sigmaringen was a 19th-century German princess of the Hohenzollern-Sigmaringen dynasty who became Queen of the Belgians as the wife of King Leopold II and the mother of King Albert I.
  • D. Princess Marie of Hesse and by Rhine
    Princess Marie of Hesse and by Rhine was a German princess of the House of Hesse and by Rhine, a granddaughter of Queen Victoria who died in childhood from diphtheria.
  • E. Princess Juliane of Saxe-Coburg-Saalfeld
    Princess Juliane of Saxe-Coburg-Saalfeld was a German noblewoman of the House of Wettin who became Grand Duchess Anna Feodorovna of Russia through her brief and unhappy marriage to Grand Duke Konstantin Pavlovich.
  • 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_69c699517e348190bd3348b6889200f2 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa8039148190a492a0a25bcc7c55 completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecc01e1b88190817a73e580cf4f03 completed April 2, 2026, 8:05 p.m.
NEDg Description generation batch_69ced05d98e481909607fd51883cd123 completed April 2, 2026, 8:23 p.m.
NED2 Entity disambiguation (via description) batch_69ced0e42edc8190af4fa07942d00e6b completed April 2, 2026, 8:26 p.m.
Created at: March 27, 2026, 3:56 p.m.