Triple

T3331500
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Franzen E70042 entity
Predicate familyName P18 FINISHED
Object Franzen E70042 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: Franzen | Statement: [Jonathan Franzen, familyName, Franzen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franzen
Context triple: [Jonathan Franzen, familyName, Franzen]
  • A. Jonathan Franzen chosen
    Jonathan Franzen is an American novelist and essayist best known for his sprawling, character-driven social novels such as "The Corrections" and "Freedom," which explore contemporary family life and cultural anxieties.
  • B. Schiffrin
    Schiffrin is a surname most notably associated with André Schiffrin, an influential publisher and intellectual known for his work in progressive and independent publishing.
  • C. Birkerts
    Birkerts is a Latvian-origin surname notably associated with architect Gunnar Birkerts and other prominent figures in arts and letters.
  • D. Frye
    Frye is a surname of English origin borne by various notable individuals in politics, academia, and the arts.
  • E. Thomas Wolff
    Thomas Wolff was an influential American mathematician renowned for his groundbreaking work in harmonic analysis and partial differential equations.
  • 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.