Triple
T1207136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derby County F.C. |
E25914
|
entity |
| Predicate | chairman |
P377
|
FINISHED |
| Object |
David Clowes
David Clowes is a British businessman best known for rescuing and owning Derby County Football Club through his company Clowes Developments.
|
E137839
|
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: David Clowes | Statement: [Derby County F.C., chairman, David Clowes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Clowes Context triple: [Derby County F.C., chairman, David Clowes]
-
A.
Richard Johns
Richard Johns is a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
-
B.
Michael Klingensmith
Michael Klingensmith is an American media executive best known for helping launch and lead major magazine brands, including playing a key role in the creation of Entertainment Weekly.
-
C.
Jack Briggs
Jack Briggs was an American actor best known for his marriage to Hollywood star Ginger Rogers.
-
D.
Dan Jewett
Dan Jewett is an American science teacher known for his brief marriage to billionaire philanthropist and novelist MacKenzie Scott.
-
E.
Loren Long
Loren Long is an American children's book illustrator and author known for his richly detailed, nostalgic artwork in popular picture books and collaborations with prominent writers.
- 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: David Clowes Triple: [Derby County F.C., chairman, David Clowes]
Generated description
David Clowes is a British businessman best known for rescuing and owning Derby County Football Club through his company Clowes Developments.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Clowes Target entity description: David Clowes is a British businessman best known for rescuing and owning Derby County Football Club through his company Clowes Developments.
-
A.
Richard Johns
Richard Johns is a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
-
B.
Michael Klingensmith
Michael Klingensmith is an American media executive best known for helping launch and lead major magazine brands, including playing a key role in the creation of Entertainment Weekly.
-
C.
Jack Briggs
Jack Briggs was an American actor best known for his marriage to Hollywood star Ginger Rogers.
-
D.
Dan Jewett
Dan Jewett is an American science teacher known for his brief marriage to billionaire philanthropist and novelist MacKenzie Scott.
-
E.
Loren Long
Loren Long is an American children's book illustrator and author known for his richly detailed, nostalgic artwork in popular picture books and collaborations with prominent writers.
- 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bdc483b481908e5bfef5d2f4fc5a |
completed | March 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7f3f4c508190bdc3d436d393daf9 |
completed | March 7, 2026, 7:40 p.m. |
| NEDg | Description generation | batch_69ac7fc59a488190adbdf156aaff8c03 |
completed | March 7, 2026, 7:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac806a6d748190acc5cdfa8fb90a64 |
completed | March 7, 2026, 7:45 p.m. |
Created at: March 1, 2026, 7:46 p.m.