Triple
T22094135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon Beaufoy |
E545980
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Beaufoy |
—
|
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: Beaufoy | Statement: [Simon Beaufoy, familyName, Beaufoy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beaufoy Context triple: [Simon Beaufoy, familyName, Beaufoy]
-
A.
Beaufoy
Beaufoy was an early 19th-century sealing and exploration vessel commanded by James Weddell during his Antarctic voyages.
-
B.
Beaufoy
chosen
Beaufoy is an English surname most notably borne by Oscar-winning screenwriter Simon Beaufoy.
-
C.
Blatchford
Blatchford is a sustainable, mixed-use residential community being developed on the former Edmonton City Centre Airport lands in Edmonton, Alberta.
-
D.
Fitzwilly
Fitzwilly is a 1967 comedy film starring Dick Van Dyke as a butler who masterminds elaborate thefts to support his employer’s fading fortune.
-
E.
Molyneaux
Molyneaux is a surname of likely Norman origin borne by various notable individuals, including politicians such as James Molyneaux.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e766388190aad1039fe0849771 |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.