Triple

T5160930
Position Surface form Disambiguated ID Type / Status
Subject Diane von Fürstenberg E116433 entity
Predicate child P120 FINISHED
Object Princess Tatiana von Fürstenberg
Princess Tatiana von Fürstenberg is an American filmmaker, writer, and arts patron, known for her work in independent cinema and for her involvement in cultural and philanthropic projects.
E499483 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 Tatiana von Fürstenberg | Statement: [Diane von Fürstenberg, child, Princess Tatiana von Fürstenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Princess Tatiana von Fürstenberg
Context triple: [Diane von Fürstenberg, child, Princess Tatiana von Fürstenberg]
  • A. Princess Marie von Thurn und Taxis
    Princess Marie von Thurn und Taxis was an aristocratic patron of the arts best known for her close friendship and extensive correspondence with poet Rainer Maria Rilke, whom she supported creatively and financially.
  • B. Princess Stéphanie of Monaco
    Princess Stéphanie of Monaco is the youngest daughter of Prince Rainier III and Grace Kelly, known for her roles as a singer, fashion designer, and humanitarian, as well as her high-profile, often unconventional public life.
  • 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. María Antonieta Hagenaar
    María Antonieta Hagenaar was the first wife of Chilean poet Pablo Neruda, with whom he lived in Europe during the early years of his diplomatic and literary career.
  • E. 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.
  • 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 Tatiana von Fürstenberg
Triple: [Diane von Fürstenberg, child, Princess Tatiana von Fürstenberg]
Generated description
Princess Tatiana von Fürstenberg is an American filmmaker, writer, and arts patron, known for her work in independent cinema and for her involvement in cultural and philanthropic projects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Princess Tatiana von Fürstenberg
Target entity description: Princess Tatiana von Fürstenberg is an American filmmaker, writer, and arts patron, known for her work in independent cinema and for her involvement in cultural and philanthropic projects.
  • A. Princess Marie von Thurn und Taxis
    Princess Marie von Thurn und Taxis was an aristocratic patron of the arts best known for her close friendship and extensive correspondence with poet Rainer Maria Rilke, whom she supported creatively and financially.
  • B. Princess Stéphanie of Monaco
    Princess Stéphanie of Monaco is the youngest daughter of Prince Rainier III and Grace Kelly, known for her roles as a singer, fashion designer, and humanitarian, as well as her high-profile, often unconventional public life.
  • 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. María Antonieta Hagenaar
    María Antonieta Hagenaar was the first wife of Chilean poet Pablo Neruda, with whom he lived in Europe during the early years of his diplomatic and literary career.
  • E. 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.
  • 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_69bd445edb3881909b93b34d260717fc completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79073a54819080cd1e8de6fe906a completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed92b3ab48190900cf5c246dba433 completed March 21, 2026, 5:45 p.m.
NEDg Description generation batch_69beda3bfee08190a6e1d8b06739cade completed March 21, 2026, 5:49 p.m.
NED2 Entity disambiguation (via description) batch_69beda93175481908c79010c7fe6897e completed March 21, 2026, 5:51 p.m.
Created at: March 20, 2026, 1:44 p.m.