Triple

T23045897
Position Surface form Disambiguated ID Type / Status
Subject Paul Graham E573876 entity
Predicate knownFor P22 FINISHED
Object book "Hackers & Painters" — 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: book "Hackers & Painters" | Statement: [Paul Graham, knownFor, book "Hackers & Painters"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: book "Hackers & Painters"
Context triple: [Paul Graham, knownFor, book "Hackers & Painters"]
  • A. book "Patterns of Software"
    "Patterns of Software" is a collection of essays by Richard P. Gabriel that explores the philosophy, aesthetics, and practice of software design and programming.
  • B. book "Bad Blood: Secrets and Lies in a Silicon Valley Startup"
    "Bad Blood: Secrets and Lies in a Silicon Valley Startup" is a nonfiction investigative book by journalist John Carreyrou that exposes the massive fraud and deception behind the blood-testing startup Theranos and its founder Elizabeth Holmes.
  • C. book "Planning Extreme Programming"
    "Planning Extreme Programming" is a software development book that outlines practical strategies for organizing, managing, and implementing Extreme Programming (XP) practices in real-world projects.
  • D. the book "Apprenticeship Patterns"
    "Apprenticeship Patterns" is a practical software craftsmanship book that offers concrete patterns and guidance for developers to deliberately grow their skills and careers through an apprenticeship mindset.
  • E. The New Hacker's Dictionary
    The New Hacker's Dictionary is a comprehensive lexicon and cultural guide to hacker slang, folklore, and traditions, compiled and edited by Eric S. Raymond.
  • 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: book "Hackers & Painters"
Target entity description: "Hackers & Painters" is a collection of essays by programmer and entrepreneur Paul Graham that explores the culture of hackers, the nature of creativity, startups, and the intersection of technology and society.
  • A. book "Patterns of Software"
    "Patterns of Software" is a collection of essays by Richard P. Gabriel that explores the philosophy, aesthetics, and practice of software design and programming.
  • B. book "Bad Blood: Secrets and Lies in a Silicon Valley Startup"
    "Bad Blood: Secrets and Lies in a Silicon Valley Startup" is a nonfiction investigative book by journalist John Carreyrou that exposes the massive fraud and deception behind the blood-testing startup Theranos and its founder Elizabeth Holmes.
  • C. book "Planning Extreme Programming"
    "Planning Extreme Programming" is a software development book that outlines practical strategies for organizing, managing, and implementing Extreme Programming (XP) practices in real-world projects.
  • D. the book "Apprenticeship Patterns"
    "Apprenticeship Patterns" is a practical software craftsmanship book that offers concrete patterns and guidance for developers to deliberately grow their skills and careers through an apprenticeship mindset.
  • E. The New Hacker's Dictionary
    The New Hacker's Dictionary is a comprehensive lexicon and cultural guide to hacker slang, folklore, and traditions, compiled and edited by Eric S. Raymond.
  • 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_69e245b9c11481909d06c872214d21af completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f185192754819093a87d23371e7bbc completed April 29, 2026, 4:12 a.m.
Created at: April 17, 2026, 3:54 p.m.