Triple

T6739422
Position Surface form Disambiguated ID Type / Status
Subject Jodi Picoult E154037 entity
Predicate familyName P18 FINISHED
Object 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: Picoult | Statement: [Jodi Picoult, familyName, Picoult]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Picoult
Context triple: [Jodi Picoult, familyName, 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. 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.
  • D. Sadie Jones
    Sadie Jones is a British novelist best known for her award-winning debut novel "The Outcast" and subsequent works exploring family, trauma, and social constraint.
  • E. Sadie Jones
    Sadie Jones is a central comedic character in the romantic comedy film "License to Wed," known for her involvement in the chaotic premarital counseling that drives the story’s humor and conflict.
  • 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_69c6880d84d8819095d19de2295f26ac completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d187c8788190b9fc1ebc9a66a520 completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b0db3f481909b5281c63cc32dd1 completed March 27, 2026, 10:56 p.m.
Created at: March 27, 2026, 2:10 p.m.