Triple
T6643332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buckley |
E150638
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
George Buckley
George Buckley is a British businessman best known for serving as the chairman and CEO of 3M.
|
E623405
|
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: George Buckley | Statement: [Buckley, hasNotableBearer, George Buckley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Buckley Context triple: [Buckley, hasNotableBearer, George Buckley]
-
A.
Thomas J. C. Martyn
Thomas J. C. Martyn was a British-born journalist and editor best known as the founder of the American news magazine Newsweek.
-
B.
Andrew Buckland
Andrew Buckland is a film editor best known for his Academy Award-winning work on the racing drama "Ford v Ferrari."
-
C.
John Malcolm
John Malcolm is the emotionally reserved army major whose strained relationship with his ex-wife forms one of the central storylines in the 1958 British drama film "Separate Tables."
-
D.
William Rooke Creswell
William Rooke Creswell was a pioneering Australian naval officer often regarded as the "father of the Royal Australian Navy" for his key role in its establishment and development.
-
E.
John Ternouth
John Ternouth was a 19th-century British sculptor best known for creating the bronze reliefs that adorn Nelson's Column in Trafalgar Square, London.
- 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: George Buckley Triple: [Buckley, hasNotableBearer, George Buckley]
Generated description
George Buckley is a British businessman best known for serving as the chairman and CEO of 3M.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: George Buckley Target entity description: George Buckley is a British businessman best known for serving as the chairman and CEO of 3M.
-
A.
Thomas J. C. Martyn
Thomas J. C. Martyn was a British-born journalist and editor best known as the founder of the American news magazine Newsweek.
-
B.
Andrew Buckland
Andrew Buckland is a film editor best known for his Academy Award-winning work on the racing drama "Ford v Ferrari."
-
C.
John Malcolm
John Malcolm is the emotionally reserved army major whose strained relationship with his ex-wife forms one of the central storylines in the 1958 British drama film "Separate Tables."
-
D.
William Rooke Creswell
William Rooke Creswell was a pioneering Australian naval officer often regarded as the "father of the Royal Australian Navy" for his key role in its establishment and development.
-
E.
John Ternouth
John Ternouth was a 19th-century British sculptor best known for creating the bronze reliefs that adorn Nelson's Column in Trafalgar Square, London.
- 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aff749d48190bf24d448daf13bc7 |
completed | March 27, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72f79fa7c81909904de229cb4ed50 |
completed | March 28, 2026, 1:31 a.m. |
| NEDg | Description generation | batch_69c7305ab9608190bb54e360860cbefb |
completed | March 28, 2026, 1:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c730dce35c8190b9cc9801d559995d |
completed | March 28, 2026, 1:37 a.m. |
Created at: March 27, 2026, 2 p.m.