Triple
T22101969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamaica Inn |
E546192
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | R. E. Dearing |
—
|
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: R. E. Dearing | Statement: [Jamaica Inn, editedBy, R. E. Dearing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: R. E. Dearing Context triple: [Jamaica Inn, editedBy, R. E. Dearing]
-
A.
R. E. Dearing
chosen
R. E. Dearing was a British film editor best known for his work on classic films of the 1930s and 1940s, including Alfred Hitchcock’s "The Lady Vanishes."
-
B.
P. M. Blodgett
P. M. Blodgett was an early settler and prominent local figure in Oregon after whom the community of Blodgett was named.
-
C.
M. S. Reardon
M. S. Reardon was an early 20th-century film actor who appeared in the 1918 silent drama "Eye for Eye."
-
D.
Lee R. Mayes
Lee R. Mayes is a film producer best known for his work on the comedy movie "White Chicks."
-
E.
Leslie R. Caldwell
Leslie R. Caldwell is an American lawyer and former high-ranking U.S. Department of Justice official known for leading major federal criminal enforcement efforts.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129163b908190b63ace06016f4db8 |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.