Triple
T20101419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pat Kavanagh |
E496550
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Julian Barnes |
—
|
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: Julian Barnes | Statement: [Pat Kavanagh, spouse, Julian Barnes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julian Barnes Context triple: [Pat Kavanagh, spouse, Julian Barnes]
-
A.
Julian Barnes
chosen
Julian Barnes is a distinguished contemporary English novelist and essayist known for his inventive narratives and exploration of memory, history, and identity.
-
B.
Alan Hollinghurst
Alan Hollinghurst is a British novelist renowned for his Booker Prize–winning exploration of gay life, class, and politics in late 20th-century England.
-
C.
Jonathan Coe
Jonathan Coe is a British novelist and satirist best known for works such as "What a Carve Up!" and "The Rotters' Club," which often blend political commentary with dark humor.
-
D.
Ian McEwan
Ian McEwan is a renowned British novelist and screenwriter known for his psychologically intricate, morally complex fiction, including works such as "Atonement" and "Amsterdam."
-
E.
Graham Swift
Graham Swift is a British novelist known for his psychologically rich, intricately structured works such as "Waterland" and "Last Orders," which explore memory, history, and personal identity.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666ff4008190ae1eec907c89bd3b |
completed | April 20, 2026, 5:46 p.m. |
Created at: April 11, 2026, 11:27 p.m.