Triple
T21824266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moll Flanders |
E538808
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Daniel Defoe |
—
|
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: Daniel Defoe | Statement: [Moll Flanders, author, Daniel Defoe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Defoe Context triple: [Moll Flanders, author, Daniel 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.
John Bunyan
John Bunyan was a 17th-century English Puritan preacher and writer best known for his Christian allegory "The Pilgrim's Progress."
-
C.
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.
-
D.
Henry Fielding
Henry Fielding was an 18th-century English novelist and dramatist best known for his satirical works such as "Tom Jones," which helped shape the development of the modern novel.
-
E.
Tobias Smollett
Tobias Smollett was an 18th-century Scottish novelist, satirist, and physician best known for his picaresque novels and sharp social commentary.
- 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_69e0c475038c8190abb9b1a20eb8ff50 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f091307d408190a92b65c3f39682a8 |
completed | April 28, 2026, 10:51 a.m. |
Created at: April 16, 2026, 6:54 p.m.