Triple
T11736223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Beatrice of York |
E279031
|
entity |
| Predicate | weddingDressDesigner |
P40514
|
FINISHED |
| Object |
Norman Hartnell (vintage gown loaned by Queen Elizabeth II)
Norman Hartnell (vintage gown loaned by Queen Elizabeth II) is a historic ivory gown by British couturier Sir Norman Hartnell, originally designed for the Queen and later adapted for Princess Beatrice’s wedding.
|
E943469
|
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: Norman Hartnell (vintage gown loaned by Queen Elizabeth II) | Statement: [Princess Beatrice of York, weddingDressDesigner, Norman Hartnell (vintage gown loaned by Queen Elizabeth II)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norman Hartnell (vintage gown loaned by Queen Elizabeth II) Context triple: [Princess Beatrice of York, weddingDressDesigner, Norman Hartnell (vintage gown loaned by Queen Elizabeth II)]
-
A.
Ninette Mantle
Ninette Mantle is the British actress Lily James's mother, known for her connection to the entertainment industry through her family.
-
B.
Dorothy Tutin
Dorothy Tutin was a distinguished English stage and screen actress known for her acclaimed Shakespearean performances and prominent roles in British film and television from the mid-20th century onward.
-
C.
Lady Diana Mayo
Lady Diana Mayo is the independent and headstrong English heroine of E.M. Hull’s desert romance novel "The Sheik," whose abduction by a powerful Arab chieftain drives the story’s central love-and-adventure plot.
-
D.
Maud Windsor
Maud Windsor is a young member of the British royal family, the daughter of Lord Frederick Windsor and granddaughter of Prince and Princess Michael of Kent.
-
E.
Vivienne Haigh-Wood
Vivienne Haigh-Wood was an English governess and writer best known as the first wife of poet T. S. Eliot and for her troubled marriage that significantly influenced his life and work.
- 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: Norman Hartnell (vintage gown loaned by Queen Elizabeth II) Triple: [Princess Beatrice of York, weddingDressDesigner, Norman Hartnell (vintage gown loaned by Queen Elizabeth II)]
Generated description
Norman Hartnell (vintage gown loaned by Queen Elizabeth II) is a historic ivory gown by British couturier Sir Norman Hartnell, originally designed for the Queen and later adapted for Princess Beatrice’s wedding.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Norman Hartnell (vintage gown loaned by Queen Elizabeth II) Target entity description: Norman Hartnell (vintage gown loaned by Queen Elizabeth II) is a historic ivory gown by British couturier Sir Norman Hartnell, originally designed for the Queen and later adapted for Princess Beatrice’s wedding.
-
A.
Ninette Mantle
Ninette Mantle is the British actress Lily James's mother, known for her connection to the entertainment industry through her family.
-
B.
Dorothy Tutin
Dorothy Tutin was a distinguished English stage and screen actress known for her acclaimed Shakespearean performances and prominent roles in British film and television from the mid-20th century onward.
-
C.
Lady Diana Mayo
Lady Diana Mayo is the independent and headstrong English heroine of E.M. Hull’s desert romance novel "The Sheik," whose abduction by a powerful Arab chieftain drives the story’s central love-and-adventure plot.
-
D.
Maud Windsor
Maud Windsor is a young member of the British royal family, the daughter of Lord Frederick Windsor and granddaughter of Prince and Princess Michael of Kent.
-
E.
Vivienne Haigh-Wood
Vivienne Haigh-Wood was an English governess and writer best known as the first wife of poet T. S. Eliot and for her troubled marriage that significantly influenced his life and work.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4edced48190b7a59dd45921828e |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f019b318188190bfb7effcf42974d2 |
completed | April 28, 2026, 2:21 a.m. |
| NEDg | Description generation | batch_69f0319271788190a105828ae7582668 |
completed | April 28, 2026, 4:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f05a44dcb88190a0bb57b0c8fef6b9 |
completed | April 28, 2026, 6:57 a.m. |
Created at: April 8, 2026, 9:41 p.m.