Triple
T8801149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patricia Highsmith |
E209408
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Ruth Rendell |
E510594
|
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: Ruth Rendell | Statement: [Patricia Highsmith, influenced, Ruth Rendell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruth Rendell Context triple: [Patricia Highsmith, influenced, 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.
Susan Hill
Susan Hill is a British author best known for her ghost stories and novels, including the modern classic "The Woman in Black."
-
D.
Ngaio Marsh
Ngaio Marsh was a renowned New Zealand crime writer best known for her classic detective novels featuring Inspector Roderick Alleyn and her status as one of the "Queens of Crime" of the Golden Age of detective fiction.
-
E.
Val McDermid
Val McDermid is a Scottish crime writer renowned for her psychological thrillers and influential contributions to contemporary crime 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_69ca836320e48190b5cf585b90a322c4 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fb8aab88190befed16301e08efc |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6f6fdd688190bf40bbde0be991e1 |
completed | April 3, 2026, 7:42 a.m. |
Created at: March 30, 2026, 6:44 p.m.