Triple

T3331512
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Franzen E70042 entity
Predicate notableWork P4 FINISHED
Object The Corrections E217108 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 Corrections | Statement: [Jonathan Franzen, notableWork, The Corrections]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Corrections
Context triple: [Jonathan Franzen, notableWork, The Corrections]
  • A. The Corrections chosen
    The Corrections is a critically acclaimed novel by Jonathan Franzen that explores the complexities of a Midwestern American family at the turn of the 21st century.
  • B. Motherless Brooklyn
    Motherless Brooklyn is a crime novel by Jonathan Lethem that follows a detective with Tourette’s syndrome as he investigates his mentor’s murder in a noir-inflected, character-driven mystery.
  • C. Suttree
    Suttree is a darkly comic, richly detailed novel by Cormac McCarthy that follows the drifting life of Cornelius Suttree along the Tennessee River in 1950s Knoxville.
  • D. The Green Mile
    The Green Mile is a serialized novel by Stephen King that blends supernatural elements with a poignant death-row drama set in a 1930s Southern prison.
  • E. Revolutionary Road
    Revolutionary Road is a 2008 drama film, based on Richard Yates's novel, that explores the disintegration of a suburban 1950s marriage and stars Leonardo DiCaprio and Kate Winslet.
  • 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb191e1988190a1d88596f6605aff completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a841c608190942e040c14f560d2 completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:12 p.m.