Triple

T16876106
Position Surface form Disambiguated ID Type / Status
Subject La Cérémonie E421302 entity
Predicate basedOnAuthor P2806 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: [La Cérémonie, basedOnAuthor, Ruth Rendell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruth Rendell
Context triple: [La Cérémonie, basedOnAuthor, 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 (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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b7f646308190b5e277b5f51cd315 completed April 18, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d4544124819080f20df1daa3f9ed completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:29 a.m.