Triple
T15276279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Buckley |
E365147
|
entity |
| Predicate | twitterUsername |
P2943
|
FINISHED |
| Object |
James_Buckley
James Buckley is a British actor and comedian best known for playing Jay Cartwright in the sitcom "The Inbetweeners."
|
E1148827
|
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: James_Buckley | Statement: [James Buckley, twitterUsername, James_Buckley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James_Buckley Context triple: [James Buckley, twitterUsername, James_Buckley]
-
A.
Rob Buckley
Rob Buckley is a relatively obscure individual whose name is notably associated with the surname Buckley but who has no widely recognized public profile.
-
B.
Jonathan Buckley
Jonathan Buckley is known as the son of American political satirist and novelist Christopher Buckley.
-
C.
Gavin Buckley
Gavin Buckley is a film editor known for his work on the British comedy feature "Alan Partridge: Alpha Papa."
-
D.
Nathan Buckley
Nathan Buckley is a former Australian rules footballer and coach best known as a Collingwood champion midfielder and one of the sport’s most highly decorated players.
-
E.
Michael Buckley
Michael Buckley is a common name shared by several notable individuals, including authors, entertainers, and public figures across different fields.
- 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: James_Buckley Triple: [James Buckley, twitterUsername, James_Buckley]
Generated description
James Buckley is a British actor and comedian best known for playing Jay Cartwright in the sitcom "The Inbetweeners."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: James_Buckley Target entity description: James Buckley is a British actor and comedian best known for playing Jay Cartwright in the sitcom "The Inbetweeners."
-
A.
Rob Buckley
Rob Buckley is a relatively obscure individual whose name is notably associated with the surname Buckley but who has no widely recognized public profile.
-
B.
Jonathan Buckley
Jonathan Buckley is known as the son of American political satirist and novelist Christopher Buckley.
-
C.
Gavin Buckley
Gavin Buckley is a film editor known for his work on the British comedy feature "Alan Partridge: Alpha Papa."
-
D.
Nathan Buckley
Nathan Buckley is a former Australian rules footballer and coach best known as a Collingwood champion midfielder and one of the sport’s most highly decorated players.
-
E.
Michael Buckley
Michael Buckley is a common name shared by several notable individuals, including authors, entertainers, and public figures across different fields.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00952731c8190bf6a5e6e10c95b94 |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef7186d481909067f8088f3ea497 |
completed | May 9, 2026, 8:25 a.m. |
| NEDg | Description generation | batch_69fef3374a34819094e0a4ac7bf89059 |
completed | May 9, 2026, 8:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fef41c898881908ed3520643918445 |
completed | May 9, 2026, 8:45 a.m. |
Created at: April 10, 2026, 3:14 a.m.