Triple
T1078478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Defoe |
E23892
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Defoe |
E23892
|
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: Defoe | Statement: [Daniel Defoe, familyName, Defoe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Defoe Context triple: [Daniel Defoe, familyName, Defoe]
-
A.
Daniel Defoe
chosen
Daniel Defoe was an English writer, journalist, and pamphleteer best known as a pioneer of the novel form and the author of "Robinson Crusoe."
-
B.
Jonathan Swift
Jonathan Swift was an Anglo-Irish satirist, essayist, and clergyman best known for works like "Gulliver’s Travels" and "A Modest Proposal," which sharply critiqued politics and society.
-
C.
Pepys
Pepys is a notable English surname most famously associated with Samuel Pepys, the 17th-century diarist and naval administrator.
-
D.
Aphra Behn
Aphra Behn was a pioneering 17th-century English playwright, poet, and novelist, often regarded as one of the first professional female writers in English literature.
-
E.
Dryden
Dryden is a small city in northwestern Ontario, Canada, known historically for its forestry and paper mill industries.
- 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_69a493f1ddf48190a99d54b00e99f8ce |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b943b41481909b24050ca7e78971 |
completed | March 1, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c2247888190a7ab75b447b4773f |
completed | March 7, 2026, 4:02 p.m. |
Created at: March 1, 2026, 7:42 p.m.