Triple
T21571985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Newcomes |
E532305
|
entity |
| Predicate | narratorCharacter |
P17575
|
FINISHED |
| Object | Arthur Pendennis |
—
|
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: Arthur Pendennis | Statement: [The Newcomes, narratorCharacter, Arthur Pendennis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arthur Pendennis Context triple: [The Newcomes, narratorCharacter, Arthur Pendennis]
-
A.
Arthur Pendennis
chosen
Arthur Pendennis is the introspective, socially ambitious young gentleman who serves as the protagonist of William Makepeace Thackeray’s novel "Pendennis."
-
B.
Margaret Basset
Margaret Basset was an English noblewoman of the early 14th century, best known as the wife of John de Bohun, 5th Earl of Hereford.
-
C.
Nicholas Palliser
Nicholas Palliser is an actor known for his role in the television series "Bodies."
-
D.
Rosamund Painswick
Rosamund Painswick is a wealthy, socially astute aristocrat in the Downton Abbey universe, known as the sophisticated and often meddling sister of Robert Crawley.
-
E.
Bertram Mitford
Bertram Mitford was a British author best known for his late 19th-century adventure and colonial novels set in southern Africa.
- 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_69e0c460db088190828c64206a450273 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eee9cd50188190b44eb25fb87312bb |
completed | April 27, 2026, 4:45 a.m. |
Created at: April 16, 2026, 6:30 p.m.