Triple
T2286732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frederick Buechner |
E51407
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | 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: Buechner | Statement: [Frederick Buechner, familyName, Buechner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buechner Context triple: [Frederick Buechner, familyName, 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.
Sebald
Sebald is the scientist who first formally described and named the bacterial genus Campylobacter.
-
C.
Erle Galbraith
Erle Galbraith was the fourth wife of famed American singer and entertainer Al Jolson.
-
D.
Charles Green
Charles Green was an 18th-century English astronomer who sailed with Captain James Cook to observe the 1769 transit of Venus and conduct astronomical measurements.
-
E.
B. Warren
B. Warren was a prominent physicist known for his influential contributions to the field of diffraction physics.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc24730208190af8a5cf443d334f7 |
completed | March 7, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae894f9ff881909d1b3a7956d82576 |
completed | March 9, 2026, 8:48 a.m. |
Created at: March 4, 2026, 7:48 p.m.