Triple
T18216916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gillian Mary Baverstock |
E436185
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Baverstock |
—
|
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: Baverstock | Statement: [Gillian Mary Baverstock, familyName, Baverstock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baverstock Context triple: [Gillian Mary Baverstock, familyName, Baverstock]
-
A.
Baverstock
chosen
Baverstock is a small rural hamlet in Wiltshire, England, known for its historic church and tranquil countryside setting.
-
B.
Battisford
Battisford is a small rural village and civil parish located in the English county of Suffolk.
-
C.
Brigstocke
Brigstocke is the surname of British comedian, actor, and satirist Marcus Brigstocke.
-
D.
Dahlbury
Dahlbury is a company known for its commercial sponsorship of sporting events such as the Coronation Cup.
-
E.
Tealby
Tealby is a picturesque rural village in eastern England, known for its traditional stone cottages and scenic setting within the Lincolnshire countryside.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e47765a081908d0bbca1245f89ba |
completed | April 19, 2026, 2:19 p.m. |
Created at: April 10, 2026, 10:32 a.m.