Triple
T17946843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Anne of Romania |
E448724
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Princess Margaret of Denmark |
—
|
NE NERFINISHED |
How this triple was built (3 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 Denmark | Statement: [Queen Anne of Romania, mother, Princess Margaret of Denmark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Princess Margaret of Denmark Context triple: [Queen Anne of Romania, mother, Princess Margaret of Denmark]
-
A.
Princess Margaret of Hesse and by Rhine
Princess Margaret of Hesse and by Rhine was a German princess of the Hesse-Darmstadt line, notable as the daughter of Grand Duke Louis IV of Hesse and by Rhine and Princess Alice of the United Kingdom, making her a granddaughter of Queen Victoria.
-
B.
Birgitte, Duchess of Gloucester
Birgitte, Duchess of Gloucester is a Danish-born member of the British royal family, married to Prince Richard, Duke of Gloucester, and known for her extensive charitable and official duties on behalf of the monarchy.
-
C.
Princess Margaret
Princess Margaret was the younger sister of Queen Elizabeth II, known for her glamorous lifestyle, high-profile romances, and often controversial role within the British royal family.
-
D.
Princess Margaret
Princess Margaret is a fictional royal character featured in the operetta and subsequent adaptations of "The Student Prince."
-
E.
Princess Louise of Denmark
Princess Louise of Denmark was a Danish princess of the late 19th and early 20th centuries who became Duchess of Schleswig-Holstein through marriage into the German ducal house.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Princess Margaret of Denmark Target entity description: Princess Margaret of Denmark was a Danish royal princess of the House of Glücksburg, known for her close ties to several European royal families and her role in 20th-century Danish court life.
-
A.
Princess Margaret of Hesse and by Rhine
Princess Margaret of Hesse and by Rhine was a German princess of the Hesse-Darmstadt line, notable as the daughter of Grand Duke Louis IV of Hesse and by Rhine and Princess Alice of the United Kingdom, making her a granddaughter of Queen Victoria.
-
B.
Birgitte, Duchess of Gloucester
Birgitte, Duchess of Gloucester is a Danish-born member of the British royal family, married to Prince Richard, Duke of Gloucester, and known for her extensive charitable and official duties on behalf of the monarchy.
-
C.
Princess Margaret
Princess Margaret was the younger sister of Queen Elizabeth II, known for her glamorous lifestyle, high-profile romances, and often controversial role within the British royal family.
-
D.
Princess Margaret
Princess Margaret is a fictional royal character featured in the operetta and subsequent adaptations of "The Student Prince."
-
E.
Princess Louise of Denmark
Princess Louise of Denmark was a Danish princess of the late 19th and early 20th centuries who became Duchess of Schleswig-Holstein through marriage into the German ducal house.
- F. None of above. chosen
Provenance (2 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad99df408190a8a4e3d21c03fe71 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 10:21 a.m.