Triple
T13982802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary of Waltham |
E336356
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Mary
Mary of Waltham was a 14th-century English princess, the daughter of King Edward III and Philippa of Hainault.
|
E336356
|
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: [Mary of Waltham, givenName, Mary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Context triple: [Mary of Waltham, givenName, Mary]
-
A.
Mary
Mary is a fictional character in B.F. Skinner’s utopian novel "Walden Two," representing one of the community’s young members shaped by its behaviorist social principles.
-
B.
Mary
Mary is the birth name of American actress, singer, and dancer Debbie Reynolds, a major Hollywood star of the mid-20th century.
-
C.
Mary
Mary is the middle name of Katherine Mary Dewar, a component of her full personal name.
-
D.
Mary
Mary of Lancaster was a 14th-century English noblewoman, daughter of Henry, 3rd Earl of Lancaster, and a member of the influential House of Lancaster.
-
E.
Mary
Mary is the given name of Mary de Rachewiltz, an American-born Italian poet, translator, and scholar best known as the daughter and literary executor of Ezra Pound.
- 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: [Mary of Waltham, givenName, Mary]
Generated description
Mary of Waltham was a 14th-century English princess, the daughter of King Edward III and Philippa of Hainault.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mary Target entity description: Mary of Waltham was a 14th-century English princess, the daughter of King Edward III and Philippa of Hainault.
-
A.
Mary
chosen
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.
-
B.
Mary
Mary of York was a 15th-century English princess, the second daughter of King Edward IV and Elizabeth Woodville.
-
C.
Mary
Mary of Lancaster was a 14th-century English noblewoman, daughter of Henry, 3rd Earl of Lancaster, and a member of the influential House of Lancaster.
-
D.
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.
-
E.
Mary
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.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ea2e8808190a1203a6386224bd8 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1e5f2008190a0701ae37ed5219d |
completed | May 6, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_69fba785e17c819081d09f7891914665 |
completed | May 6, 2026, 8:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fba82ca04c8190863932895fa8212a |
completed | May 6, 2026, 8:44 p.m. |
Created at: April 9, 2026, 10:18 p.m.