Triple
T13612187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muriel Spark |
E325217
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Muriel Spark |
E325217
|
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: Muriel Spark | Statement: [Muriel Spark, name, Muriel Spark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muriel Spark Context triple: [Muriel Spark, name, Muriel Spark]
-
A.
Muriel Spark
chosen
Muriel Spark was a Scottish novelist, best known for her sharp wit and the acclaimed novel "The Prime of Miss Jean Brodie."
-
B.
Iris Murdoch
Iris Murdoch was a British novelist and philosopher renowned for her psychologically complex fiction and explorations of morality, freedom, and love.
-
C.
Margaret Drabble
Margaret Drabble is an acclaimed English novelist, biographer, and critic known for her psychologically rich portrayals of contemporary British life.
-
D.
Beryl Bainbridge
Beryl Bainbridge was an acclaimed English novelist and playwright known for her darkly comic, psychologically incisive fiction often set in postwar Britain.
-
E.
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.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0abe1208190a1e0a32dc141d836 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f9a9f9c81909b0a8f4f51c461ae |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:50 p.m.