Triple
T12383170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sedbergh School |
E295792
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object |
Roger Lupton
Roger Lupton was a 16th-century English clergyman and educational benefactor best known for his role in establishing Sedbergh School.
|
E1031882
|
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: Roger Lupton | Statement: [Sedbergh School, founder, Roger Lupton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roger Lupton Context triple: [Sedbergh School, founder, Roger Lupton]
-
A.
Sam Loates
Sam Loates was a prominent late 19th-century English jockey best known for winning major classic races, including the Epsom Derby.
-
B.
Ronald Dacey
Ronald Dacey is a central character in the television series "StartUp," portrayed as a skilled but conflicted gang leader who becomes an unlikely tech entrepreneur.
-
C.
Ian Rumfitt
Ian Rumfitt is a British philosopher best known for his work in the philosophy of language and logic, particularly on meaning, truth, and inferentialism.
-
D.
Richard Hiscott
Richard Hiscott is an editor known for his work on the television series "Willow."
-
E.
Richard Bristow
Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
- 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: Roger Lupton Triple: [Sedbergh School, founder, Roger Lupton]
Generated description
Roger Lupton was a 16th-century English clergyman and educational benefactor best known for his role in establishing Sedbergh School.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roger Lupton Target entity description: Roger Lupton was a 16th-century English clergyman and educational benefactor best known for his role in establishing Sedbergh School.
-
A.
Sam Loates
Sam Loates was a prominent late 19th-century English jockey best known for winning major classic races, including the Epsom Derby.
-
B.
Ronald Dacey
Ronald Dacey is a central character in the television series "StartUp," portrayed as a skilled but conflicted gang leader who becomes an unlikely tech entrepreneur.
-
C.
Ian Rumfitt
Ian Rumfitt is a British philosopher best known for his work in the philosophy of language and logic, particularly on meaning, truth, and inferentialism.
-
D.
Richard Hiscott
Richard Hiscott is an editor known for his work on the television series "Willow."
-
E.
Richard Bristow
Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fbc3f608190b0ee3c4f304a94db |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716afa8008190b4c518dd6004d87a |
completed | May 3, 2026, 9:34 a.m. |
| NEDg | Description generation | batch_69f7179da5488190a10acadbf60ea470 |
completed | May 3, 2026, 9:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f71847e7308190ac6f59a7dcafa452 |
completed | May 3, 2026, 9:41 a.m. |
Created at: April 8, 2026, 9:54 p.m.