Triple

T5124256
Position Surface form Disambiguated ID Type / Status
Subject Prince of Saxe-Coburg and Gotha E115545 entity
Predicate femaleEquivalent P1613 FINISHED
Object Princess of Saxe-Coburg and Gotha
Princess of Saxe-Coburg and Gotha is a noble title historically borne by female members of the German ducal and princely House of Saxe-Coburg and Gotha, a dynasty that provided monarchs to several European thrones.
E168512 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 of Saxe-Coburg and Gotha | Statement: [Prince of Saxe-Coburg and Gotha, femaleEquivalent, Princess of Saxe-Coburg and Gotha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Princess of Saxe-Coburg and Gotha
Context triple: [Prince of Saxe-Coburg and Gotha, femaleEquivalent, Princess of Saxe-Coburg and Gotha]
  • A. Princess Victoria of Saxe-Coburg-Saalfeld
    Princess Victoria of Saxe-Coburg-Saalfeld was a German-born noblewoman and Duchess of Kent who played a key role in the upbringing and early life of her daughter, the future Queen Victoria of the United Kingdom.
  • B. Duchess of Teck
    The Duchess of Teck was a noble title in the British aristocracy most notably held by Princess Mary Adelaide of Cambridge, mother of Queen Mary, consort of King George V.
  • C. Princess Victoria of the United Kingdom
    Princess Victoria of the United Kingdom was the second daughter of King Edward VII and Queen Alexandra, known for remaining unmarried and serving as a close companion and supporter to her mother throughout her life.
  • D. Louise of Great Britain
    Louise of Great Britain was a British princess who became Queen of Denmark and Norway through her marriage to King Frederick V.
  • E. Princess Sophia of the United Kingdom
    Princess Sophia of the United Kingdom was a daughter of King George III and Queen Charlotte, known for remaining unmarried and living a relatively secluded life within the British royal family.
  • 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 of Saxe-Coburg and Gotha
Triple: [Prince of Saxe-Coburg and Gotha, femaleEquivalent, Princess of Saxe-Coburg and Gotha]
Generated description
Princess of Saxe-Coburg and Gotha is a noble title historically borne by female members of the German ducal and princely House of Saxe-Coburg and Gotha, a dynasty that provided monarchs to several European thrones.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Princess of Saxe-Coburg and Gotha
Target entity description: Princess of Saxe-Coburg and Gotha is a noble title historically borne by female members of the German ducal and princely House of Saxe-Coburg and Gotha, a dynasty that provided monarchs to several European thrones.
  • A. Princess Victoria of Saxe-Coburg-Saalfeld chosen
    Princess Victoria of Saxe-Coburg-Saalfeld was a German-born noblewoman and Duchess of Kent who played a key role in the upbringing and early life of her daughter, the future Queen Victoria of the United Kingdom.
  • B. Duchess of Teck
    The Duchess of Teck was a noble title in the British aristocracy most notably held by Princess Mary Adelaide of Cambridge, mother of Queen Mary, consort of King George V.
  • C. Princess Victoria of the United Kingdom
    Princess Victoria of the United Kingdom was the second daughter of King Edward VII and Queen Alexandra, known for remaining unmarried and serving as a close companion and supporter to her mother throughout her life.
  • D. Louise of Great Britain
    Louise of Great Britain was a British princess who became Queen of Denmark and Norway through her marriage to King Frederick V.
  • E. Princess Sophia of the United Kingdom
    Princess Sophia of the United Kingdom was a daughter of King George III and Queen Charlotte, known for remaining unmarried and living a relatively secluded life within the British royal family.
  • F. None of above.

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_69bd4442ade0819087b9461f892b206b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7805c55c8190bc0540d755dc6242 completed March 20, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfbd5d67c881909b57ead8968a840b completed March 22, 2026, 9:58 a.m.
NEDg Description generation batch_69bfbe2a1a2c8190a4bc29759251ee37 completed March 22, 2026, 10:02 a.m.
NED2 Entity disambiguation (via description) batch_69bfbe9cf5d481908ca6f1b49e54d9bd completed March 22, 2026, 10:04 a.m.
Created at: March 20, 2026, 1:42 p.m.