Triple

T8486425
Position Surface form Disambiguated ID Type / Status
Subject Mother of George E200842 entity
Predicate writer P1360 FINISHED
Object Darci Picoult E154037 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: Darci Picoult | Statement: [Mother of George, writer, Darci Picoult]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darci Picoult
Context triple: [Mother of George, writer, Darci Picoult]
  • A. Jodi Picoult chosen
    Jodi Picoult is a bestselling American author known for her emotionally charged novels that tackle complex moral and social issues.
  • B. Chris Bohjalian
    Chris Bohjalian is an American novelist known for his bestselling psychological and literary thrillers, several of which have been adapted for film and television.
  • C. Laura Lippman
    Laura Lippman is an American author best known for her award-winning crime and mystery novels, particularly the Tess Monaghan series set in Baltimore.
  • D. Geraldine Brooks
    Geraldine Brooks was an American actress known for her work in mid-20th-century films, television, and stage productions.
  • E. Kathryn Stockett
    Kathryn Stockett is an American novelist best known for her bestselling debut novel "The Help," which explores race relations and domestic life in 1960s Mississippi.
  • 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe53c4d608190a766c0e919a4b96f completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a45e30c8190838ac499bbc66fbd completed April 2, 2026, 9:43 a.m.
Created at: March 30, 2026, 6:13 p.m.