Triple
T17591055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Peter Bazalgette |
E428447
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bazalgette |
—
|
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: Bazalgette | Statement: [Sir Peter Bazalgette, familyName, Bazalgette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bazalgette Context triple: [Sir Peter Bazalgette, familyName, Bazalgette]
-
A.
Bazalgette
chosen
Bazalgette is a surname most famously associated with Sir Joseph Bazalgette, the 19th-century civil engineer who designed London's modern sewer system.
-
B.
Ed Bazalgette
Ed Bazalgette is a British television director and former musician known for his work on popular series such as Doctor Who and Poldark.
-
C.
Parbold
Parbold is a village in Lancashire, England, known for its scenic setting near the River Douglas and the Leeds and Liverpool Canal.
-
D.
Baines
Baines is the middle name of Lyndon B. Johnson, the 36th president of the United States.
-
E.
Baines
Baines is an English surname most notably associated with former professional footballer Leighton Baines, who played as a left-back for Everton and the England national team.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469e6e3888190b73a5b6d7e8c0a55 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 5:51 a.m.