Triple

T14416574
Position Surface form Disambiguated ID Type / Status
Subject Clementine Kruczynski E357468 entity
Predicate worksAt P7 FINISHED
Object Barnes & Noble E56677 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: Barnes & Noble | Statement: [Clementine Kruczynski, worksAt, Barnes & Noble]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barnes & Noble
Context triple: [Clementine Kruczynski, worksAt, Barnes & Noble]
  • A. Barnes & Noble chosen
    Barnes & Noble is a major American bookselling chain known for its large retail bookstores that offer a wide selection of books, magazines, and related media, often alongside in-store cafés.
  • B. Kobo eBookstore
    Kobo eBookstore is an online digital bookstore offering a wide catalog of e-books and audiobooks for purchase and download, primarily for use with Kobo e-readers and apps.
  • C. National Book Store
    National Book Store is a major Philippine retail chain known for its wide selection of books, school supplies, and office stationery.
  • D. Barnes & Noble Press
    Barnes & Noble Press is Barnes & Noble’s self-publishing platform that enables authors to create, publish, and distribute print and digital books through the retailer’s channels.
  • E. Scribner Library
    Scribner Library is the main academic library at Skidmore College, providing students and faculty with research resources, study spaces, and scholarly support services.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cec8e4819087c72d82f9caacda completed April 14, 2026, 7:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd552bc32c81908a562732e3950442 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:17 a.m.