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.