Triple
T19931433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Area Bishop of Bradford |
E479062
|
entity |
| Predicate | firstIncumbent |
P4891
|
FINISHED |
| Object | Toby Howarth |
—
|
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: Toby Howarth | Statement: [Area Bishop of Bradford, firstIncumbent, Toby Howarth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toby Howarth Context triple: [Area Bishop of Bradford, firstIncumbent, Toby Howarth]
-
A.
Toby Howarth
chosen
Toby Howarth is an Anglican bishop who serves as the Area Bishop of Bradford in the Church of England.
-
B.
Toby Wilkinson
Toby Wilkinson is a British Egyptologist and historian known for his influential works on ancient Egyptian civilization and its political and cultural history.
-
C.
Toby Barraud
Toby Barraud is a television producer best known for his executive production work on the reality TV franchise "Love & Hip Hop."
-
D.
Toby Carvery
Toby Carvery is a British pub-restaurant chain known for its traditional roast dinners and carvery-style service.
-
E.
Toby Marks
Toby Marks is an actor known for appearing in the exploitation film "Caged Heat."
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a13ebc08190a583aa4c5e9f6648 |
completed | April 20, 2026, 4:53 p.m. |
Created at: April 10, 2026, 1:53 p.m.