Triple
T1651949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Soffel |
E35711
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Nicholas Beauman |
E158958
|
NE FINISHED |
How this triple was built (2 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: Nicholas Beauman | Statement: [Mrs. Soffel, editedBy, Nicholas Beauman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicholas Beauman Context triple: [Mrs. Soffel, editedBy, Nicholas Beauman]
-
A.
Nicholas Beauman
chosen
Nicholas Beauman is a British editor and publisher known for championing and reissuing neglected literary works, particularly through the imprint Persephone Books.
-
B.
Nicholas Hughes
Nicholas Hughes was the son of poets Sylvia Plath and Ted Hughes, who became a respected fisheries biologist before his tragic death in 2009.
-
C.
John Broome
John Broome is a British philosopher and economist known for his influential work on ethics, rationality, and climate change.
-
D.
Alasdair Steedman
Alasdair Steedman was a senior Royal Air Force officer who rose to high command, including leadership of the RAF’s Fighter Command.
-
E.
Alexander Haddow
Alexander Haddow was a Scottish epidemiologist and virologist noted for his pioneering research on insect-borne viruses, particularly in Africa.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a67c0308190a502fd9c6c0769bc |
completed | March 5, 2026, 4:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae26e9748081909532426be2f198d1 |
completed | March 9, 2026, 1:48 a.m. |
Created at: March 4, 2026, 7:29 p.m.