Triple

T18200405
Position Surface form Disambiguated ID Type / Status
Subject Judea Pearl E435765 entity
Predicate notableWork P4 FINISHED
Object The Book of Why NE NERFINISHED

How this triple was built (3 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: The Book of Why | Statement: [Judea Pearl, notableWork, The Book of Why]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Book of Why
Context triple: [Judea Pearl, notableWork, The Book of Why]
  • A. The Signal and the Noise
    The Signal and the Noise is a book by statistician Nate Silver that explores how to make better predictions by distinguishing meaningful signals from misleading noise in data across fields like politics, economics, and science.
  • B. The Undoing Project
    The Undoing Project is a nonfiction book by Michael Lewis that explores the groundbreaking psychological research of Daniel Kahneman and Amos Tversky on human judgment, decision-making, and cognitive biases.
  • C. The Joy of x
    The Joy of x is a popular mathematics book by Steven Strogatz that uses everyday stories and clear explanations to reveal the beauty and relevance of math in daily life.
  • D. Enlightenment Now
    Enlightenment Now is a non-fiction book by cognitive psychologist Steven Pinker that argues, using extensive data, that human life has been steadily improving thanks to Enlightenment values such as reason, science, and humanism.
  • E. Think Like a Freak
    Think Like a Freak is a popular non-fiction book by economist Steven Levitt and journalist Stephen Dubner that applies unconventional, data-driven thinking to everyday problems and decision-making.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Book of Why
Target entity description: The Book of Why is a popular science book by Judea Pearl that explains the foundations and importance of causal reasoning in statistics, artificial intelligence, and everyday decision-making.
  • A. The Signal and the Noise
    The Signal and the Noise is a book by statistician Nate Silver that explores how to make better predictions by distinguishing meaningful signals from misleading noise in data across fields like politics, economics, and science.
  • B. The Undoing Project
    The Undoing Project is a nonfiction book by Michael Lewis that explores the groundbreaking psychological research of Daniel Kahneman and Amos Tversky on human judgment, decision-making, and cognitive biases.
  • C. The Joy of x
    The Joy of x is a popular mathematics book by Steven Strogatz that uses everyday stories and clear explanations to reveal the beauty and relevance of math in daily life.
  • D. Enlightenment Now
    Enlightenment Now is a non-fiction book by cognitive psychologist Steven Pinker that argues, using extensive data, that human life has been steadily improving thanks to Enlightenment values such as reason, science, and humanism.
  • E. Think Like a Freak
    Think Like a Freak is a popular non-fiction book by economist Steven Levitt and journalist Stephen Dubner that applies unconventional, data-driven thinking to everyday problems and decision-making.
  • F. None of above. chosen

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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d610f88190b4f69b1c433ea6b1 completed April 19, 2026, 2:04 p.m.
Created at: April 10, 2026, 10:31 a.m.