Triple

T10364522
Position Surface form Disambiguated ID Type / Status
Subject The Accidental Billionaires E244218 entity
Predicate author P4 FINISHED
Object Ben Mezrich E244219 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: Ben Mezrich | Statement: [The Accidental Billionaires, author, Ben Mezrich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ben Mezrich
Context triple: [The Accidental Billionaires, author, Ben Mezrich]
  • A. Ben Mezrich chosen
    Ben Mezrich is an American author best known for writing nonfiction books about high-stakes gambling, technology, and finance, including the work that inspired the film "The Social Network."
  • B. Michael Lewis
    Michael Lewis is an American musician best known as a multi-instrumentalist and saxophonist active in indie rock and jazz-influenced projects.
  • C. Michael Lewis
    Michael Lewis was the son of American novelist and Nobel Prize laureate Sinclair Lewis.
  • D. Michael Lewis
    Michael Lewis is an American non-fiction author and financial journalist best known for his narrative books on business, economics, and sports, including "Moneyball," "The Big Short," and "Liar's Poker."
  • E. Eric Guggenheim
    Eric Guggenheim is an American screenwriter and television producer known for his work on films like "Miracle" and series such as "Hawaii Five-0" and "Magnum P.I."
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e964a53c8190b748e80850e96656 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750c2d2748190b871b928d5a094f8 completed April 9, 2026, 7:09 a.m.
Created at: April 6, 2026, noon