Triple
T10727703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Long Day’s Dying |
E252992
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Frederick Buechner |
E51407
|
NE FINISHED |
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: Frederick Buechner | Statement: [A Long Day’s Dying, author, Frederick Buechner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frederick Buechner Context triple: [A Long Day’s Dying, author, Frederick Buechner]
-
A.
Frederick Buechner
chosen
Frederick Buechner was an American Presbyterian minister, novelist, and theologian known for his reflective Christian writings that blend memoir, fiction, and spiritual insight.
-
B.
K. Trevor Wilson
K. Trevor Wilson is a Canadian stand-up comedian and actor best known for playing the character Squirrely Dan on the television series "Letterkenny."
-
C.
Robert Bell
Robert Bell is an individual known primarily as the husband of Lily Bell.
-
D.
Robert Bell
Robert Bell was a son of Mabel Gardiner Hubbard, who was the wife of telephone inventor Alexander Graham Bell.
-
E.
David Wesley Finney
David Wesley Finney was a 19th-century American politician from Kansas after whom Finney County was named.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70fc7cc1c8190b4a1dcadf8563b20 |
completed | April 9, 2026, 2:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de2297f7a48190b194f7e611d0682b |
completed | April 14, 2026, 11:18 a.m. |
Created at: April 8, 2026, 9:14 p.m.