Triple
T6013265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria, Princess Royal |
E133884
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Princess Margaret of Prussia
Princess Margaret of Prussia was the youngest daughter of German Emperor Frederick III and Victoria, Princess Royal of the United Kingdom, and a member of the German imperial family known for her charitable work and artistic interests.
|
E691008
|
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 Margaret of Prussia | Statement: [Victoria, Princess Royal, child, Princess Margaret of Prussia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Princess Margaret of Prussia Context triple: [Victoria, Princess Royal, child, Princess Margaret of Prussia]
-
A.
Princess Louise of Prussia
Princess Louise of Prussia was a 19th-century Prussian royal and member of the House of Hohenzollern who became a Dutch princess through her marriage into the Dutch royal family.
-
B.
Princess Marianne of Prussia
Princess Marianne of Prussia was a 19th-century Prussian royal and art patron known for her extensive cultural interests and ownership of notable European estates.
-
C.
Princess Alexandrine of Prussia
Princess Alexandrine of Prussia was a 19th-century Prussian princess, daughter of Prince Albert of Prussia and Princess Marianne of the Netherlands, known for her quiet life within the Prussian royal family.
-
D.
Princess Wilhelmine of Prussia
Princess Wilhelmine of Prussia was an 18th-century Prussian royal, noted for her influential role at court and as a member of the prominent Hohenzollern dynasty.
-
E.
Princess Louise Margaret of Prussia
Princess Louise Margaret of Prussia was a German-born princess who became Duchess of Connaught and Strathearn through marriage into the British royal family and was the mother of Princess Margaret of Connaught.
- 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 Margaret of Prussia Triple: [Victoria, Princess Royal, child, Princess Margaret of Prussia]
Generated description
Princess Margaret of Prussia was the youngest daughter of German Emperor Frederick III and Victoria, Princess Royal of the United Kingdom, and a member of the German imperial family known for her charitable work and artistic interests.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Princess Margaret of Prussia Target entity description: Princess Margaret of Prussia was the youngest daughter of German Emperor Frederick III and Victoria, Princess Royal of the United Kingdom, and a member of the German imperial family known for her charitable work and artistic interests.
-
A.
Princess Louise of Prussia
Princess Louise of Prussia was a 19th-century Prussian royal and member of the House of Hohenzollern who became a Dutch princess through her marriage into the Dutch royal family.
-
B.
Princess Marianne of Prussia
Princess Marianne of Prussia was a 19th-century Prussian royal and art patron known for her extensive cultural interests and ownership of notable European estates.
-
C.
Princess Alexandrine of Prussia
Princess Alexandrine of Prussia was a 19th-century Prussian princess, daughter of Prince Albert of Prussia and Princess Marianne of the Netherlands, known for her quiet life within the Prussian royal family.
-
D.
Princess Wilhelmine of Prussia
Princess Wilhelmine of Prussia was an 18th-century Prussian royal, noted for her influential role at court and as a member of the prominent Hohenzollern dynasty.
-
E.
Princess Louise Margaret of Prussia
Princess Louise Margaret of Prussia was a German-born princess who became Duchess of Connaught and Strathearn through marriage into the British royal family and was the mother of Princess Margaret of Connaught.
- 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_69c0087361a48190905c6b55969852b8 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f528acc8190bc6943d812460b57 |
completed | March 22, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c963dc62f88190b2aff49f5cb5fe27 |
completed | March 29, 2026, 5:39 p.m. |
| NEDg | Description generation | batch_69c9647e648c8190ad309a8a9fdd0b42 |
completed | March 29, 2026, 5:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c964ce10708190a7c475395b1c2854 |
completed | March 29, 2026, 5:43 p.m. |
Created at: March 22, 2026, 4:06 p.m.