Triple
T901794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doctor Thorne |
E19461
|
entity |
| Predicate | hasCharacterRelationship |
P10690
|
FINISHED |
| Object |
Sir Roger Scatcherd is a patient of Doctor Thorne
Sir Roger Scatcherd is a hard-drinking, self-made stonemason-turned-baronet whose wealth, illness, and turbulent past play a central role in Anthony Trollope’s novel "Doctor Thorne."
|
E107007
|
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: Sir Roger Scatcherd is a patient of Doctor Thorne | Statement: [Doctor Thorne, hasCharacterRelationship, Sir Roger Scatcherd is a patient of Doctor Thorne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sir Roger Scatcherd is a patient of Doctor Thorne Context triple: [Doctor Thorne, hasCharacterRelationship, Sir Roger Scatcherd is a patient of Doctor Thorne]
-
A.
Sir Walter Mildmay
Sir Walter Mildmay was a 16th-century English statesman and Chancellor of the Exchequer under Queen Elizabeth I, noted for his influential role in government and support of education and Puritan reform.
-
B.
Sir Samuel Garth
Sir Samuel Garth was an English physician and poet of the late 17th and early 18th centuries, best known for his satirical poem "The Dispensary" and his advocacy for medical reform.
-
C.
Archdeacon Grantly
Archdeacon Grantly is a central clergyman character in Anthony Trollope’s *Chronicles of Barsetshire*, known for his staunch conservatism, ecclesiastical ambition, and comic yet sympathetic portrayal.
-
D.
Sir George Treby
Sir George Treby was a British politician and public official who rose to prominence in the late 17th and early 18th centuries, notably serving in senior governmental and naval administrative roles.
-
E.
Thomas Mildmay
Thomas Mildmay was a 16th-century English politician and courtier, known as the son of statesman Sir Walter Mildmay and for serving in various administrative and parliamentary roles under the Tudor monarchy.
- 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: Sir Roger Scatcherd is a patient of Doctor Thorne Triple: [Doctor Thorne, hasCharacterRelationship, Sir Roger Scatcherd is a patient of Doctor Thorne]
Generated description
Sir Roger Scatcherd is a hard-drinking, self-made stonemason-turned-baronet whose wealth, illness, and turbulent past play a central role in Anthony Trollope’s novel "Doctor Thorne."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sir Roger Scatcherd is a patient of Doctor Thorne Target entity description: Sir Roger Scatcherd is a hard-drinking, self-made stonemason-turned-baronet whose wealth, illness, and turbulent past play a central role in Anthony Trollope’s novel "Doctor Thorne."
-
A.
Sir Walter Mildmay
Sir Walter Mildmay was a 16th-century English statesman and Chancellor of the Exchequer under Queen Elizabeth I, noted for his influential role in government and support of education and Puritan reform.
-
B.
Sir Samuel Garth
Sir Samuel Garth was an English physician and poet of the late 17th and early 18th centuries, best known for his satirical poem "The Dispensary" and his advocacy for medical reform.
-
C.
Archdeacon Grantly
Archdeacon Grantly is a central clergyman character in Anthony Trollope’s *Chronicles of Barsetshire*, known for his staunch conservatism, ecclesiastical ambition, and comic yet sympathetic portrayal.
-
D.
Sir George Treby
Sir George Treby was a British politician and public official who rose to prominence in the late 17th and early 18th centuries, notably serving in senior governmental and naval administrative roles.
-
E.
Thomas Mildmay
Thomas Mildmay was a 16th-century English politician and courtier, known as the son of statesman Sir Walter Mildmay and for serving in various administrative and parliamentary roles under the Tudor monarchy.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2b9339081909af5ab231be39bb0 |
completed | March 1, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c734e680819098840e9c736b5ead |
completed | March 4, 2026, 5:46 a.m. |
| NEDg | Description generation | batch_69a7c8a3064081908772ee2305bbe3e1 |
completed | March 4, 2026, 5:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7c8fecaac8190a7b1a1cd2fa98a2d |
completed | March 4, 2026, 5:54 a.m. |
Created at: March 1, 2026, 7:39 p.m.