Triple
T19653339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patsy Cornwallis-West |
E471871
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Mary
Mary Cornwallis-West was a British socialite of the late 19th and early 20th centuries, noted for her influential connections within aristocratic and royal circles.
|
E1368713
|
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: [Patsy Cornwallis-West, givenName, Mary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Context triple: [Patsy Cornwallis-West, givenName, Mary]
-
A.
Mary
Mary is the middle name of Edith Tolkien, the wife of author J.R.R. Tolkien.
-
B.
Mary
"Mary" is a song from Sarah McLachlan’s acclaimed 1993 album *Fumbling Towards Ecstasy*, known for its introspective lyrics and ethereal, emotive vocal style.
-
C.
Mary
Mary is the birth name of American actress, comedian, and writer Lily Tomlin, known for her groundbreaking work in television, film, and theater.
-
D.
Mary
Mary is the given first name of Eugenia Charles, the pioneering former Prime Minister of Dominica and one of the Caribbean’s most prominent female political leaders.
-
E.
Mary
Mary is the middle name of the renowned British archaeologist Kathleen Kenyon.
- 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: [Patsy Cornwallis-West, givenName, Mary]
Generated description
Mary Cornwallis-West was a British socialite of the late 19th and early 20th centuries, noted for her influential connections within aristocratic and royal circles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mary Target entity description: Mary Cornwallis-West was a British socialite of the late 19th and early 20th centuries, noted for her influential connections within aristocratic and royal circles.
-
A.
Mary
chosen
Mary Theresa Olivia "Daisy" Cornwallis-West, known as Daisy, was a prominent British socialite of the late 19th and early 20th centuries noted for her influential connections within European high society.
-
B.
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.
-
C.
Mary
Mary is the given name of Lady Mary Nugent, an Irish noblewoman associated with the late 18th and early 19th-century British aristocracy.
-
D.
Mary
Mary is the given name of Lady Mary Coke, an 18th-century British noblewoman and diarist known for her detailed letters and journals.
-
E.
Mary
Mary is the given name of Lady Mary Butler, an aristocratic figure from the historically influential Butler family.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6414327d88190826ab9511f2f8e48 |
completed | April 20, 2026, 3:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a077ef165b48190894f4ba843d7bcb4 |
completed | May 15, 2026, 8:15 p.m. |
| NEDg | Description generation | batch_6a078103746c8190aa687e483fef12e7 |
completed | May 15, 2026, 8:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a078216845c8190b58bfa09180aeb8f |
completed | May 15, 2026, 8:29 p.m. |
Created at: April 10, 2026, 1:44 p.m.