Triple

T13137399
Position Surface form Disambiguated ID Type / Status
Subject Nicodemus Tessin the Elder E312118 entity
Predicate spouse P13 FINISHED
Object Maria Persdotter
Maria Persdotter was the wife of prominent Swedish Baroque architect Nicodemus Tessin the Elder.
E1022196 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: Maria Persdotter | Statement: [Nicodemus Tessin the Elder, spouse, Maria Persdotter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria Persdotter
Context triple: [Nicodemus Tessin the Elder, spouse, Maria Persdotter]
  • A. Christina Birgersdotter
    Christina Birgersdotter was a medieval Swedish noblewoman, known as a daughter of the influential statesman and de facto ruler of Sweden, Birger Jarl.
  • B. Karin Månsdotter
    Karin Månsdotter was a 16th-century Swedish queen consort of humble origins who became the second wife of King Eric XIV of Sweden.
  • C. Ingegerd Olofsdotter
    Ingegerd Olofsdotter was an 11th-century Swedish princess who became Grand Princess of Kiev and a significant political figure in medieval Northern and Eastern Europe.
  • D. Elsa Gyllenstierna
    Elsa Gyllenstierna was a Swedish noblewoman of the influential Gyllenstierna family and the mother of statesman and governor-general Per Brahe the Younger.
  • E. Ulrika Wolf-Knuts
    Ulrika Wolf-Knuts is a Finnish folklorist and academic who has served as chancellor of Åbo Akademi University.
  • 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: Maria Persdotter
Triple: [Nicodemus Tessin the Elder, spouse, Maria Persdotter]
Generated description
Maria Persdotter was the wife of prominent Swedish Baroque architect Nicodemus Tessin the Elder.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maria Persdotter
Target entity description: Maria Persdotter was the wife of prominent Swedish Baroque architect Nicodemus Tessin the Elder.
  • A. Christina Birgersdotter
    Christina Birgersdotter was a medieval Swedish noblewoman, known as a daughter of the influential statesman and de facto ruler of Sweden, Birger Jarl.
  • B. Karin Månsdotter
    Karin Månsdotter was a 16th-century Swedish queen consort of humble origins who became the second wife of King Eric XIV of Sweden.
  • C. Ingegerd Olofsdotter
    Ingegerd Olofsdotter was an 11th-century Swedish princess who became Grand Princess of Kiev and a significant political figure in medieval Northern and Eastern Europe.
  • D. Elsa Gyllenstierna
    Elsa Gyllenstierna was a Swedish noblewoman of the influential Gyllenstierna family and the mother of statesman and governor-general Per Brahe the Younger.
  • E. Ulrika Wolf-Knuts
    Ulrika Wolf-Knuts is a Finnish folklorist and academic who has served as chancellor of Åbo Akademi University.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d981b53fbc8190a0f209c32a00f6cb completed April 10, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e295b3408190a7246115d3ee90e5 completed May 3, 2026, 5:52 a.m.
NEDg Description generation batch_69f6e3a950548190836e24621a5ece74 completed May 3, 2026, 5:56 a.m.
NED2 Entity disambiguation (via description) batch_69f6e454f95c8190b023c5d141999dd8 completed May 3, 2026, 5:59 a.m.
Created at: April 9, 2026, 9:09 p.m.