Triple
T5077519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julian Barnes |
E114434
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Julian Barnes |
E114434
|
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: Julian Barnes | Statement: [Julian Barnes, name, Julian Barnes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julian Barnes Context triple: [Julian Barnes, name, 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.
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."
-
C.
David Lodge
David Lodge was a British character actor known for his numerous supporting roles in mid-20th-century film and television comedies.
-
D.
Ian Byatt
Ian Byatt is a British economist and former water industry regulator, best known for serving as the first Director General of Ofwat, the economic regulator of the water industry in England and Wales.
-
E.
Sebastian Faulks
Sebastian Faulks is a British novelist best known for his historical and war-themed fiction, including the acclaimed novel "Birdsong."
- 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74f632788190ac4fd047e1a20485 |
completed | March 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb12718388190974df282ec2c6a11 |
completed | March 21, 2026, 2:54 p.m. |
Created at: March 20, 2026, 1:39 p.m.