Triple

T20660396
Position Surface form Disambiguated ID Type / Status
Subject How The Secret Changed My Life E507744 entity
Predicate hasAuthorRole P161 FINISHED
Object Rhonda Byrne 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: Rhonda Byrne | Statement: [How The Secret Changed My Life, hasAuthorRole, Rhonda Byrne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rhonda Byrne
Context triple: [How The Secret Changed My Life, hasAuthorRole, Rhonda Byrne]
  • A. Rhonda Byrne chosen
    Rhonda Byrne is an Australian television writer and producer best known for creating the self-help phenomenon "The Secret," which popularized the concept of the law of attraction worldwide.
  • B. Susan Jeffers
    Susan Jeffers was an American illustrator renowned for her detailed, atmospheric artwork in children's books and classic fairy tale retellings.
  • C. Dayna Baer
    Dayna Baer is a former CIA officer and security expert known for her work alongside her husband, ex-CIA case officer and author Robert Baer.
  • D. Kimberly Shlain
    Kimberly Shlain is the wife of American actor, comedian, and filmmaker Albert Brooks.
  • E. Sara Gottfried
    Sara Gottfried is an American physician and author known for her work on women's hormonal health, integrative medicine, and bestselling wellness books.
  • 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b2f16adc8190b2b9a69586fa7444 completed April 20, 2026, 11:12 p.m.
Created at: April 16, 2026, 11:44 a.m.