Triple
T10147596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yorke |
E231743
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Stephen Yorke
Stephen Yorke is an individual notable enough to be recognized as a prominent bearer of the surname Yorke.
|
E848428
|
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: Stephen Yorke | Statement: [Yorke, hasNotableBearer, Stephen Yorke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Yorke Context triple: [Yorke, hasNotableBearer, Stephen Yorke]
-
A.
John Yorke
John Yorke is a British television producer and drama executive best known for his influential work on long-running series such as EastEnders and for shaping modern UK TV storytelling.
-
B.
Trevor Yorke
Trevor Yorke is an author and illustrator known for his accessible books on British architecture, historic buildings, and period house styles.
-
C.
Joseph Sydney Yorke
Joseph Sydney Yorke was a British Royal Navy officer and politician of the late 18th and early 19th centuries, known for his service during the French Revolutionary and Napoleonic Wars.
-
D.
Peter Yorke
Peter Yorke is a notable individual who shares the surname Yorke, recognized enough to be specifically cited as a bearer of the name.
-
E.
Ed Shearmur
Ed Shearmur is a British film composer known for scoring a wide range of Hollywood movies across genres.
- 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: Stephen Yorke Triple: [Yorke, hasNotableBearer, Stephen Yorke]
Generated description
Stephen Yorke is an individual notable enough to be recognized as a prominent bearer of the surname Yorke.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stephen Yorke Target entity description: Stephen Yorke is an individual notable enough to be recognized as a prominent bearer of the surname Yorke.
-
A.
John Yorke
John Yorke is a British television producer and drama executive best known for his influential work on long-running series such as EastEnders and for shaping modern UK TV storytelling.
-
B.
Trevor Yorke
Trevor Yorke is an author and illustrator known for his accessible books on British architecture, historic buildings, and period house styles.
-
C.
Joseph Sydney Yorke
Joseph Sydney Yorke was a British Royal Navy officer and politician of the late 18th and early 19th centuries, known for his service during the French Revolutionary and Napoleonic Wars.
-
D.
Peter Yorke
Peter Yorke is a notable individual who shares the surname Yorke, recognized enough to be specifically cited as a bearer of the name.
-
E.
Ed Shearmur
Ed Shearmur is a British film composer known for scoring a wide range of Hollywood movies across genres.
- 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_69ca848364f881908a24366a6feec1db |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec011c24819089b456fc8b9ed80c |
completed | April 2, 2026, 4:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d354f0def48190bd5fcd5820459893 |
completed | April 6, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_69d35916791081908dfcd1b217390225 |
completed | April 6, 2026, 6:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d3597cdf188190853d7385f22e8b26 |
completed | April 6, 2026, 6:58 a.m. |
Created at: March 30, 2026, 9:07 p.m.