Triple
T18586303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Burnside |
E454243
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | John Burnside |
—
|
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: John Burnside | Statement: [John Burnside, name, John Burnside]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Burnside Context triple: [John Burnside, name, John Burnside]
-
A.
John Burnside
chosen
John Burnside is a Scottish poet, novelist, and essayist known for his lyrical explorations of nature, memory, and the uncanny in contemporary literature.
-
B.
Richard Siken
Richard Siken is an American poet best known for his intense, cinematic collection "Crush," which brought him widespread acclaim in contemporary poetry.
-
C.
Kay Young
Kay Young was a British actress known for her stage and film work in the mid-20th century.
-
D.
Franz Wright
Franz Wright was a Pulitzer Prize–winning American poet known for his intensely personal, spiritually searching verse and for being the son of fellow poet James Wright.
-
E.
Paul Doty
Paul Doty was an American chemist and prominent arms control expert who played a key role in nuclear disarmament policy and science advising during the Cold War.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b210488190ba62d3bf6e1a595c |
completed | April 19, 2026, 9:14 p.m. |
Created at: April 10, 2026, 11:44 a.m.