Triple
T19982595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Ferrars |
E493853
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Ferrars |
—
|
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: Ferrars | Statement: [Mrs. Ferrars, hasFamilyName, Ferrars]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ferrars Context triple: [Mrs. Ferrars, hasFamilyName, Ferrars]
-
A.
Ferrars
chosen
Ferrars is the surname of Edward Ferrars, a central character in Jane Austen's novel "Sense and Sensibility."
-
B.
Fitzwilliam
Fitzwilliam is an Anglo-Irish aristocratic surname historically associated with prominent landowning and political families in Britain and Ireland.
-
C.
Fitzwilliam
Fitzwilliam is a former coal mining village in West Yorkshire, England, known for its industrial heritage and subsequent regeneration efforts.
-
D.
Stanhope
Stanhope is a small rural town in northern Victoria, Australia, known for its dairy farming and agricultural community.
-
E.
Stanhope
Stanhope is an English surname historically associated with several notable figures in British politics, literature, and the aristocracy.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d14c3c08190b1ba8f4da08a4ccf |
completed | April 20, 2026, 5:06 p.m. |
Created at: April 11, 2026, 3:28 p.m.