Triple
T20416736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Detection Club |
E500732
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Ruth Rendell |
—
|
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: Ruth Rendell | Statement: [Detection Club, hasMember, Ruth Rendell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruth Rendell Context triple: [Detection Club, hasMember, Ruth Rendell]
-
A.
Ruth Rendell
chosen
Ruth Rendell was a renowned British crime writer best known for her Inspector Wexford novels and psychologically complex thrillers.
-
B.
P. D. James
P. D. James was a renowned British crime novelist best known for her Adam Dalgliesh detective series and her sophisticated, psychologically rich mysteries.
-
C.
Reginald Hill
Reginald Hill was a British crime novelist best known for his long-running Dalziel and Pascoe detective series.
-
D.
Josephine Tey
Josephine Tey was the pen name of Scottish crime writer Elizabeth MacKintosh, best known for her influential Inspector Alan Grant detective novels and her innovative approach to historical mystery fiction.
-
E.
Susan Hill
Susan Hill is a British author best known for her ghost stories and novels, including the modern classic "The Woman in Black."
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a4437448190b07b6e6e3de5830f |
completed | April 20, 2026, 7:11 p.m. |
Created at: April 16, 2026, 11:30 a.m.