Triple
T21041172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Boyne |
E518327
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | John Boyne |
—
|
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 Boyne | Statement: [John Boyne, name, John Boyne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Boyne Context triple: [John Boyne, name, John Boyne]
-
A.
John Boyne
chosen
John Boyne is an Irish novelist best known for his Holocaust-themed novel "The Boy in the Striped Pyjamas" and other works of historical and contemporary fiction.
-
B.
Louis de Bernières
Louis de Bernières is a British novelist best known for works such as "Captain Corelli’s Mandolin" and the novella "Red Dog," which inspired the film of the same name.
-
C.
William Boyd
William Boyd was an American actor best known for portraying the cowboy hero Hopalong Cassidy in numerous films and early television.
-
D.
William Boyd
William Boyd is a Scottish novelist and screenwriter acclaimed for his richly crafted literary fiction, including works such as "Any Human Heart" and "A Good Man in Africa."
-
E.
Stephen Donoghue
Stephen Donoghue is a literary critic and book reviewer known for his prolific online reviews and commentary on contemporary and classic literature.
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcefe4688190ad1bed1ef2d7a3e5 |
completed | April 21, 2026, 4:28 a.m. |
Created at: April 16, 2026, 2:15 p.m.