Triple
T14591380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Dillwyn |
E342452
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Dillwyn |
E1019453
|
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: Dillwyn | Statement: [William Dillwyn, familyName, Dillwyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dillwyn Context triple: [William Dillwyn, familyName, Dillwyn]
-
A.
Dillwyn
chosen
Dillwyn is a given name most notably borne by British codebreaker and classical scholar Dilly Knox.
-
B.
William Dillwyn
William Dillwyn was an 18th-century Quaker abolitionist and campaigner who played a key role in the early British movement to end the transatlantic slave trade.
-
C.
Lottie Lyell
Lottie Lyell was a pioneering Australian silent film actress, screenwriter, editor, and filmmaker, widely regarded as one of the country’s first major female cinema artists.
-
D.
George Robert Gray
George Robert Gray was a 19th-century British zoologist and ornithologist known for his influential work on bird classification and species descriptions at the British Museum.
-
E.
Julius von Haast
Julius von Haast was a 19th-century German-born New Zealand geologist and explorer who became a leading scientific figure and museum director in Christchurch.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4249af08190962009741d1f7d41 |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94c36bb881909af16aa1df1766f8 |
completed | May 8, 2026, 7:46 a.m. |
Created at: April 10, 2026, 1:24 a.m.