Triple
T19457657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishop Castle |
E486774
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Jim Bishop |
—
|
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: Jim Bishop | Statement: [Bishop Castle, namedAfter, Jim Bishop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Bishop Context triple: [Bishop Castle, namedAfter, Jim Bishop]
-
A.
Jim Bishop
chosen
Jim Bishop is an American metalworker and self-taught builder best known for single-handedly constructing the elaborate and eccentric Bishop Castle in Colorado.
-
B.
Glen Bishop
Glen Bishop is a recurring character on the television series "Mad Men," known as a socially awkward neighbor boy who develops a complicated, emotionally charged friendship with Sally Draper.
-
C.
Mike Bishop
Mike Bishop is an American politician and attorney who served as a U.S. Representative from Michigan.
-
D.
Chris Bishop
Chris Bishop is a television producer best known for his work as an executive producer on the ABC sitcom "The Goldbergs."
-
E.
Ian Bishop
Ian Bishop is a former West Indian fast bowler and current cricket commentator known for his impactful international career and insightful broadcasting.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633c569a081908b5a71226345a929 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:38 p.m.