Triple

T10364601
Position Surface form Disambiguated ID Type / Status
Subject Ben Mezrich E244219 entity
Predicate wrote P2831 FINISHED
Object Rigged E858138 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: Rigged | Statement: [Ben Mezrich, wrote, Rigged]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rigged
Context triple: [Ben Mezrich, wrote, Rigged]
  • A. Rigged chosen
    "Rigged" is a nonfiction book by Ben Mezrich that chronicles the rise of a young Wall Street trader who helps create a market for oil futures in the Middle East, exposing the high-stakes world of global energy trading.
  • B. Gypped
    "Gypped" is a lighthearted mystery novel by Carol Higgins Clark featuring her recurring sleuth Regan Reilly as she investigates a suspicious investment scheme and a missing friend.
  • C. The Cheat
    The Cheat is a 1915 American silent drama film directed by Cecil B. DeMille, noted for its controversial themes and innovative visual style.
  • D. Botched
    Botched is a reality television series that follows plastic surgeons as they attempt to correct extreme and problematic cosmetic surgery procedures.
  • E. Hardball
    Hardball is a 2001 sports drama film starring Keanu Reeves as a gambler who coaches a youth baseball team in a Chicago housing project.
  • 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_69d7953ba52881908d6d7e5b099c12d2 completed April 9, 2026, 12:02 p.m.
Created at: April 6, 2026, noon