Triple

T10444727
Position Surface form Disambiguated ID Type / Status
Subject Aaron Ryder E246256 entity
Predicate produced P490 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: [Aaron Ryder, produced, The Founder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Founder
Context triple: [Aaron Ryder, produced, 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fdbe5dc48190b4291bfd0fb988eb completed April 7, 2026, 12:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89fa5b3b081909af7de1745372add completed April 10, 2026, 6:58 a.m.
Created at: April 6, 2026, 12:16 p.m.