Triple

T4175044
Position Surface form Disambiguated ID Type / Status
Subject Nick Offerman E86454 entity
Predicate appearedIn P795 FINISHED
Object The Founder E344140 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: The Founder | Statement: [Nick Offerman, appearedIn, The Founder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Founder
Context triple: [Nick Offerman, appearedIn, The Founder]
  • A. The Founder chosen
    The Founder is a biographical drama film in which Michael Keaton portrays Ray Kroc, the businessman who transformed McDonald’s into a global fast-food empire.
  • B. The Accidental Billionaires
    The Accidental Billionaires is a nonfiction book by Ben Mezrich that chronicles the controversial founding of Facebook and the personal and legal conflicts among its early creators.
  • C. The Start-up of You
    The Start-up of You is a career strategy book that applies entrepreneurial principles to personal and professional development, co-written by LinkedIn co-founder Reid Hoffman.
  • D. City of Firsts
    City of Firsts is a historic Massachusetts city known for its early industrial innovations and numerous pioneering achievements in American manufacturing and technology.
  • E. Becoming
    "Becoming" is a bestselling memoir by former First Lady Michelle Obama that chronicles her life from childhood through her years in the White House and beyond.
  • 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_69aed93de98c8190ad838ce507b77c8a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02e9370481908eda048724261c2b completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f564c9c8190bfc321c8ec2dac14 completed March 14, 2026, 3:31 p.m.
Created at: March 9, 2026, 3:45 p.m.