Triple
T14151192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Mary of the United Kingdom |
E350682
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Mary
Mary was a British princess, the only daughter of King George V and Queen Mary, and a member of the House of Windsor in the early 20th century.
|
E21175
|
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: Mary | Statement: [Princess Mary of the United Kingdom, givenName, Mary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Context triple: [Princess Mary of the United Kingdom, givenName, Mary]
-
A.
Mary
Mary is the given first name of the acclaimed American actress Meryl Streep.
-
B.
Mary
Mary is the given name of Mary Everest Boole, a 19th-century mathematics educator known for her innovative ideas on teaching mathematics, especially to children.
-
C.
Mary
"Mary" is a 1949 novel by Polish-Jewish writer Sholem Asch that reimagines the life of Jesus through the perspective of his mother.
-
D.
Mary
Mary of Waltham, Duchess of Brittany, was a 14th-century English princess and daughter of King Edward III who became duchess through her marriage to John IV, Duke of Brittany.
-
E.
Mary
Mary of Guelders was a 15th-century duchess who became Queen consort of Scotland as the wife of King James II.
- 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: Mary Triple: [Princess Mary of the United Kingdom, givenName, Mary]
Generated description
Mary was a British princess, the only daughter of King George V and Queen Mary, and a member of the House of Windsor in the early 20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mary Target entity description: Mary was a British princess, the only daughter of King George V and Queen Mary, and a member of the House of Windsor in the early 20th century.
-
A.
Mary
chosen
Mary, Princess Royal and Countess of Harewood, was a daughter of King George V and Queen Mary of the United Kingdom and a prominent British royal figure in the early to mid-20th century.
-
B.
Mary
Mary, Princess Royal and Princess of Orange, was the eldest daughter of King Charles I of England and the wife of William II of Orange, making her a key figure in 17th-century Anglo-Dutch royal relations.
-
C.
Mary
Mary is one of the middle names of Princess Beatrice of York, a member of the British royal family.
-
D.
Mary
Mary is the eldest daughter of the Crawley family and a central character in the British period drama series "Downton Abbey."
-
E.
Mary
Mary of York was a 15th-century English princess, the second daughter of King Edward IV and Elizabeth Woodville.
- F. None of above.
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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6124e23481909e5132a40a1d8624 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf21f8c8819097ff26e6bb345b52 |
completed | May 7, 2026, 6:51 p.m. |
| NEDg | Description generation | batch_69fce0cc78e881909090ac42a97ebb12 |
completed | May 7, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fce1f53a8881909fd1258729a9879d |
completed | May 7, 2026, 7:03 p.m. |
Created at: April 10, 2026, 12:57 a.m.