Triple

T5046092
Position Surface form Disambiguated ID Type / Status
Subject Birgitte, Duchess of Gloucester E113667 entity
Predicate givenName P17 FINISHED
Object Birgitte
Birgitte is a Danish-born member of the British royal family who holds the title Duchess of Gloucester.
 E492443 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: Birgitte | Statement: [Birgitte, Duchess of Gloucester, givenName, Birgitte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Birgitte
Context triple: [Birgitte, Duchess of Gloucester, givenName, Birgitte]
  • A. Ingeborg
    Ingeborg is a feminine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
  • B. Astrid
    Astrid is a Belgian princess and member of the country’s royal family.
  • C. Margareta
    Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
  • D. Gisela
    Gisela was a daughter of Charlemagne, the Frankish king and first Holy Roman Emperor, and a member of the Carolingian royal family.
  • E. Kirsten Jørgensdatter
    Kirsten Jørgensdatter was the long-time common-law wife and partner of Danish astronomer Tycho Brahe, with whom she had several children and shared his domestic and social life despite not being formally married under noble custom.
  • 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: Birgitte
Triple: [Birgitte, Duchess of Gloucester, givenName, Birgitte]
Generated description
Birgitte is a Danish-born member of the British royal family who holds the title Duchess of Gloucester.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Birgitte
Target entity description: Birgitte is a Danish-born member of the British royal family who holds the title Duchess of Gloucester.
  • A. Ingeborg
    Ingeborg is a feminine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
  • B. Astrid
    Astrid is a Belgian princess and member of the country’s royal family.
  • C. Margareta
    Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
  • D. Gisela
    Gisela was a daughter of Charlemagne, the Frankish king and first Holy Roman Emperor, and a member of the Carolingian royal family.
  • E. Kirsten Jørgensdatter
    Kirsten Jørgensdatter was the long-time common-law wife and partner of Danish astronomer Tycho Brahe, with whom she had several children and shared his domestic and social life despite not being formally married under noble custom.
  • 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73fe99688190961708f5d8eb6bff completed March 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb0f746788190bf73b8b5069e89cb completed March 21, 2026, 2:53 p.m.
NEDg Description generation batch_69beb32f4364819081d47103fe97a5da completed March 21, 2026, 3:03 p.m.
NED2 Entity disambiguation (via description) batch_69beb39eebd881909618dd628d90f261 completed March 21, 2026, 3:05 p.m.
Created at: March 20, 2026, 1:37 p.m.