Triple
T7075705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Maurits of Orange-Nassau |
E164812
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Anastasia Margriet Joséphine van Lippe-Biesterfeld van Vollenhoven
Anastasia Margriet Joséphine van Lippe-Biesterfeld van Vollenhoven is a member of the extended Dutch royal family and the daughter of Prince Maurits of Orange-Nassau.
|
E639914
|
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: Anastasia Margriet Joséphine van Lippe-Biesterfeld van Vollenhoven | Statement: [Prince Maurits of Orange-Nassau, child, Anastasia Margriet Joséphine van Lippe-Biesterfeld van Vollenhoven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anastasia Margriet Joséphine van Lippe-Biesterfeld van Vollenhoven Context triple: [Prince Maurits of Orange-Nassau, child, Anastasia Margriet Joséphine van Lippe-Biesterfeld van Vollenhoven]
-
A.
Princess Anna of Orange-Nassau
Princess Anna of Orange-Nassau was an 18th-century Dutch princess of the House of Orange-Nassau, notable as the daughter of Anne, Princess Royal of Great Britain, and a member of the broader European royal network.
-
B.
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.
-
C.
Marie Kinsky von Wchinitz und Tettau
Marie Kinsky von Wchinitz und Tettau was the Princess consort of Liechtenstein and a member of the Bohemian noble Kinsky family.
-
D.
Louise, Grand Duchess of Baden
Louise, Grand Duchess of Baden was a 19th-century German noblewoman and philanthropist, known as the daughter of Emperor William I and as a prominent patron of social and charitable causes in Baden.
-
E.
Anna Leopoldowna
Anna Leopoldowna was a Russian regent of German origin who briefly ruled the Russian Empire from 1740 to 1741 on behalf of her infant son, Emperor Ivan VI.
- 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: Anastasia Margriet Joséphine van Lippe-Biesterfeld van Vollenhoven Triple: [Prince Maurits of Orange-Nassau, child, Anastasia Margriet Joséphine van Lippe-Biesterfeld van Vollenhoven]
Generated description
Anastasia Margriet Joséphine van Lippe-Biesterfeld van Vollenhoven is a member of the extended Dutch royal family and the daughter of Prince Maurits of Orange-Nassau.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anastasia Margriet Joséphine van Lippe-Biesterfeld van Vollenhoven Target entity description: Anastasia Margriet Joséphine van Lippe-Biesterfeld van Vollenhoven is a member of the extended Dutch royal family and the daughter of Prince Maurits of Orange-Nassau.
-
A.
Princess Anna of Orange-Nassau
Princess Anna of Orange-Nassau was an 18th-century Dutch princess of the House of Orange-Nassau, notable as the daughter of Anne, Princess Royal of Great Britain, and a member of the broader European royal network.
-
B.
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.
-
C.
Marie Kinsky von Wchinitz und Tettau
Marie Kinsky von Wchinitz und Tettau was the Princess consort of Liechtenstein and a member of the Bohemian noble Kinsky family.
-
D.
Louise, Grand Duchess of Baden
Louise, Grand Duchess of Baden was a 19th-century German noblewoman and philanthropist, known as the daughter of Emperor William I and as a prominent patron of social and charitable causes in Baden.
-
E.
Anna Leopoldowna
Anna Leopoldowna was a Russian regent of German origin who briefly ruled the Russian Empire from 1740 to 1741 on behalf of her infant son, Emperor Ivan VI.
- 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_69c6887cbc6c8190bdfac42d940f4d8a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4ce3d3c81908cbb912b256aadbf |
completed | March 27, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79468c7688190bf10433f05e77574 |
completed | March 28, 2026, 8:42 a.m. |
| NEDg | Description generation | batch_69c79530c0588190826350a1cbcd5325 |
completed | March 28, 2026, 8:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c795b1be18819087a4a70fc567bd80 |
completed | March 28, 2026, 8:47 a.m. |
Created at: March 27, 2026, 2:40 p.m.