Triple
T13454120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donald Yearnsley Wilson |
E311183
|
entity |
| Predicate | hasMiddleName |
P143
|
FINISHED |
| Object |
Yearnsley
Yearnsley is the middle name of Donald Yearnsley Wilson, used as part of his full personal name.
|
E1041475
|
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: Yearnsley | Statement: [Donald Yearnsley Wilson, hasMiddleName, Yearnsley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yearnsley Context triple: [Donald Yearnsley Wilson, hasMiddleName, Yearnsley]
-
A.
Chollerford
Chollerford is a small village in Northumberland, England, known as a key stopping point near Hadrian’s Wall and the River North Tyne.
-
B.
Crowland
Crowland is a historic market town in the South Holland district of Lincolnshire, England, best known for its medieval abbey ruins and distinctive three-sided bridge.
-
C.
Shudehill
Shudehill is a central district in Manchester, England, known for its major bus and tram interchange and proximity to the city’s main shopping and commercial areas.
-
D.
Ryhope
Ryhope is a coastal village and suburb of Sunderland in North East England, historically rooted in coal mining and agriculture.
-
E.
Pilsley
Pilsley is a village in Derbyshire, England, known for its rural character and proximity to the Peak District.
- 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: Yearnsley Triple: [Donald Yearnsley Wilson, hasMiddleName, Yearnsley]
Generated description
Yearnsley is the middle name of Donald Yearnsley Wilson, used as part of his full personal name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yearnsley Target entity description: Yearnsley is the middle name of Donald Yearnsley Wilson, used as part of his full personal name.
-
A.
Chollerford
Chollerford is a small village in Northumberland, England, known as a key stopping point near Hadrian’s Wall and the River North Tyne.
-
B.
Crowland
Crowland is a historic market town in the South Holland district of Lincolnshire, England, best known for its medieval abbey ruins and distinctive three-sided bridge.
-
C.
Shudehill
Shudehill is a central district in Manchester, England, known for its major bus and tram interchange and proximity to the city’s main shopping and commercial areas.
-
D.
Ryhope
Ryhope is a coastal village and suburb of Sunderland in North East England, historically rooted in coal mining and agriculture.
-
E.
Pilsley
Pilsley is a village in Derbyshire, England, known for its rural character and proximity to the Peak District.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaefc52448190b30d7999f44a9765 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7399e33008190b10c14f30ff0c0d2 |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73e59f4d88190b13904a347072cdd |
completed | May 3, 2026, 12:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73ece474c81909007cf1330a5b8c1 |
completed | May 3, 2026, 12:25 p.m. |
Created at: April 9, 2026, 9:41 p.m.