Triple

T12662350
Position Surface form Disambiguated ID Type / Status
Subject Anna Margareta Tunder E302455 entity
Predicate givenName P17 FINISHED
Object Anna Margareta
Anna Margareta Tunder was a historical figure known primarily as the namesake and likely relative of the German Baroque composer and organist Franz Tunder.
E996422 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: Anna Margareta | Statement: [Anna Margareta Tunder, givenName, Anna Margareta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Margareta
Context triple: [Anna Margareta Tunder, givenName, Anna Margareta]
  • A. Margaretha Elisabeth Liebe
    Margaretha Elisabeth Liebe was the mother of Anna Magdalena Bach, the second wife of composer Johann Sebastian Bach.
  • B. Margaretha Jansdr
    Margaretha Jansdr was the wife of renowned Dutch Mannerist engraver and painter Hendrick Goltzius.
  • C. Hedvig
    Hedvig is a Scandinavian female given name, historically borne by several notable women in Swedish and broader Nordic royalty and nobility.
  • D. Anna Maria Gustava Myhrman
    Anna Maria Gustava Myhrman was the wife of Swedish poet and bishop Esaias Tegnér and a member of the early 19th-century Swedish cultural milieu.
  • E. Margareta
    Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
  • 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: Anna Margareta
Triple: [Anna Margareta Tunder, givenName, Anna Margareta]
Generated description
Anna Margareta Tunder was a historical figure known primarily as the namesake and likely relative of the German Baroque composer and organist Franz Tunder.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anna Margareta
Target entity description: Anna Margareta Tunder was a historical figure known primarily as the namesake and likely relative of the German Baroque composer and organist Franz Tunder.
  • A. Margaretha Elisabeth Liebe
    Margaretha Elisabeth Liebe was the mother of Anna Magdalena Bach, the second wife of composer Johann Sebastian Bach.
  • B. Margaretha Jansdr
    Margaretha Jansdr was the wife of renowned Dutch Mannerist engraver and painter Hendrick Goltzius.
  • C. Hedvig
    Hedvig is a Scandinavian female given name, historically borne by several notable women in Swedish and broader Nordic royalty and nobility.
  • D. Anna Maria Gustava Myhrman
    Anna Maria Gustava Myhrman was the wife of Swedish poet and bishop Esaias Tegnér and a member of the early 19th-century Swedish cultural milieu.
  • E. Margareta
    Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9617c5b888190b37d4ede139bb49e completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6688819fc8190bc03a1a11f96d25f completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f669c9454081909d39d5bb7082fb00 completed May 2, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69f66b619c88819098acbfb60fac9921 completed May 2, 2026, 9:23 p.m.
Created at: April 9, 2026, 5:19 p.m.