Triple
T22226087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justin Welby |
E549341
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Welby |
—
|
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: Welby | Statement: [Justin Welby, familyName, Welby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Welby Context triple: [Justin Welby, familyName, Welby]
-
A.
Welby
chosen
Welby is the middle name of Edward Welby Pugin, a prominent 19th-century English architect known for his Gothic Revival church designs.
-
B.
Stephen Church
Stephen Church is an entrepreneur best known as the founder of the company or organization named Church’s.
-
C.
Andrewes
Andrewes is a surname of English origin, historically borne by several notable figures including scholars and clergymen.
-
D.
Balmossie
Balmossie is a small coastal settlement in Angus, Scotland, situated near the town of Monifieth on the north shore of the Firth of Tay.
-
E.
William Crosby Dawson
William Crosby Dawson was a 19th-century American politician and lawyer from Georgia who served in the U.S. Congress and the U.S. Senate.
- 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bee8de8819091ec5d14ea057f9e |
completed | April 28, 2026, 9:51 p.m. |
Created at: April 16, 2026, 8:37 p.m.