Triple
T16919975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lapworth |
E410420
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
John Lapworth
John Lapworth is a British film and sound editor known for his work on several notable feature films and television productions.
|
E1267566
|
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: John Lapworth | Statement: [Lapworth, hasNotableBearer, John Lapworth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Lapworth Context triple: [Lapworth, hasNotableBearer, John Lapworth]
-
A.
Roger Lupton
Roger Lupton was a 16th-century English clergyman and educational benefactor best known for his role in establishing Sedbergh School.
-
B.
Edward Lapidge
Edward Lapidge was a 19th-century English architect best known for his work on bridges and public buildings in and around London.
-
C.
John Ackroyd
John Ackroyd was a British engineer best known for designing the Thrust2 jet-powered car that set the world land speed record in 1983.
-
D.
Fred Jowett
Fred Jowett was a British socialist politician and early Labour Party figure who served as MP for Bradford and helped shape the party’s formative policies and organization.
-
E.
Ian Ward
Ian Ward is a personal name shared by several notable individuals, including professionals in fields such as sports, academia, and the arts.
- 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: John Lapworth Triple: [Lapworth, hasNotableBearer, John Lapworth]
Generated description
John Lapworth is a British film and sound editor known for his work on several notable feature films and television productions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Lapworth Target entity description: John Lapworth is a British film and sound editor known for his work on several notable feature films and television productions.
-
A.
Roger Lupton
Roger Lupton was a 16th-century English clergyman and educational benefactor best known for his role in establishing Sedbergh School.
-
B.
Edward Lapidge
Edward Lapidge was a 19th-century English architect best known for his work on bridges and public buildings in and around London.
-
C.
John Ackroyd
John Ackroyd was a British engineer best known for designing the Thrust2 jet-powered car that set the world land speed record in 1983.
-
D.
Fred Jowett
Fred Jowett was a British socialist politician and early Labour Party figure who served as MP for Bradford and helped shape the party’s formative policies and organization.
-
E.
Ian Ward
Ian Ward is a personal name shared by several notable individuals, including professionals in fields such as sports, academia, and the arts.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cded2f8481909a20cc08b47e922e |
completed | April 18, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01a7e006808190a1b2838a32662ce0 |
completed | May 11, 2026, 9:56 a.m. |
| NEDg | Description generation | batch_6a01a912497c8190a8e09e5aaaac591a |
completed | May 11, 2026, 10:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a96980ac81908a40b1e36c31b796 |
completed | May 11, 2026, 10:03 a.m. |
Created at: April 10, 2026, 5:30 a.m.