Triple
T18018633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Graunt |
E431059
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | John Graunt |
—
|
NE NERFINISHED |
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: John Graunt | Statement: [John Graunt, name, John Graunt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Graunt Context triple: [John Graunt, name, John Graunt]
-
A.
John Graunt
chosen
John Graunt was a 17th-century English statistician and demographer, often regarded as a founder of population statistics for his pioneering analysis of mortality data in London.
-
B.
John Arbuthnot
John Arbuthnot was an 18th-century Scottish physician, mathematician, and satirist closely associated with Jonathan Swift and Alexander Pope.
-
C.
William Petty
William Petty was a 17th-century English economist, scientist, and statistician known as a pioneer of political arithmetic and early demographic analysis.
-
D.
Charles Booth
Charles Booth was a British social reformer and philanthropist best known for his pioneering surveys and maps documenting poverty in late 19th-century London.
-
E.
William Child
William Child was a 17th-century English composer and organist best known for his sacred choral music and long service at the Chapel Royal.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9bf85c08190a40cef4c6d7b566a |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 10:24 a.m.