Triple

T14212499
Position Surface form Disambiguated ID Type / Status
Subject The Keep E352265 entity
Predicate author P4 FINISHED
Object Jennifer Egan E71022 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: Jennifer Egan | Statement: [The Keep, author, Jennifer Egan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jennifer Egan
Context triple: [The Keep, author, Jennifer Egan]
  • A. Jennifer Egan chosen
    Jennifer Egan is an American novelist and short story writer best known for her Pulitzer Prize–winning, formally inventive novel "A Visit from the Goon Squad."
  • B. Michael Cunningham
    Michael Cunningham is an American novelist best known for his Pulitzer Prize–winning novel "The Hours," which reimagines Virginia Woolf’s "Mrs. Dalloway."
  • C. Ann Patchett
    Ann Patchett is an acclaimed American novelist and essayist known for works such as "Bel Canto" and "The Dutch House," celebrated for her nuanced character studies and elegant prose.
  • D. Lauren Groff
    Lauren Groff is an acclaimed contemporary American novelist and short story writer known for works such as "Fates and Furies," "Matrix," and "Florida."
  • E. Jonathan Franzen
    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.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de620dba0c8190bb77a1df10e1d3a7 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd324d66a48190b58f6ce3a7c7facc completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:05 a.m.