Triple
T21619721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D'Arcy |
E533543
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Darcy |
—
|
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: Darcy | Statement: [D'Arcy, hasVariant, Darcy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darcy Context triple: [D'Arcy, hasVariant, Darcy]
-
A.
Darcy
chosen
Darcy is a character from the 1987 horror-comedy film "My Best Friend Is a Vampire," which follows a teenager coping with his unexpected transformation into a vampire.
-
B.
Place Darcy
Place Darcy is a prominent public square in Dijon, France, known as a central hub near the historic city center and a gateway to the old town.
-
C.
Arthur Darcy
Arthur Darcy was an English nobleman who held the title of Earl of Holderness.
-
D.
Robert Darcy
Robert Darcy was a British nobleman who held the title of Earl of Holderness.
-
E.
Fitzwilliam Darcy
Fitzwilliam Darcy is the proud yet ultimately honorable romantic hero of Jane Austen's novel "Pride and Prejudice," whose evolving relationship with Elizabeth Bennet has made him one of literature's most iconic gentlemen.
- 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef3bad094c8190879d4aef7988254a |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 16, 2026, 6:34 p.m.