Triple
T21902580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawthornden Prize |
E540845
|
entity |
| Predicate | hasAwarded |
P2391
|
FINISHED |
| Object | Iris Murdoch |
—
|
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: Iris Murdoch | Statement: [Hawthornden Prize, hasAwarded, Iris Murdoch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iris Murdoch Context triple: [Hawthornden Prize, hasAwarded, Iris Murdoch]
-
A.
Iris Murdoch
chosen
Iris Murdoch was a British novelist and philosopher renowned for her psychologically complex fiction and explorations of morality, freedom, and love.
-
B.
Muriel Spark
Muriel Spark was a Scottish novelist, best known for her sharp wit and the acclaimed novel "The Prime of Miss Jean Brodie."
-
C.
Margaret Drabble
Margaret Drabble is an acclaimed English novelist, biographer, and critic known for her psychologically rich portrayals of contemporary British life.
-
D.
A. S. Byatt
A. S. Byatt was an acclaimed English novelist, critic, and academic best known for her Booker Prize-winning novel "Possession" and her intellectually rich, intertextual fiction.
-
E.
Margaret Forster
Margaret Forster was a British novelist, biographer, and critic known for works such as "Georgy Girl" and her acclaimed literary biographies.
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121d2d63c819090e115708aa4dbf8 |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 16, 2026, 7:24 p.m.