Triple

T17411049
Position Surface form Disambiguated ID Type / Status
Subject Lulu.com E423360 entity
Predicate distributionChannel P1486 FINISHED
Object Lulu online bookstore NE NERFINISHED

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: Lulu online bookstore | Statement: [Lulu.com, distributionChannel, Lulu online bookstore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lulu online bookstore
Context triple: [Lulu.com, distributionChannel, Lulu online bookstore]
  • A. Lulu.com chosen
    Lulu.com is an online self-publishing platform that enables authors to create, publish, and distribute their books in print and digital formats.
  • B. The Bookstore
    The Bookstore is an episode of the sitcom "Seinfeld" featuring the character Newman in a storyline centered around a bookstore-related misadventure.
  • C. Dom Knigi bookstore
    Dom Knigi bookstore is a famous historic bookshop in Saint Petersburg, Russia, housed in the ornate Singer House on Nevsky Prospekt and known as a major literary and cultural landmark.
  • D. BookLovers bookstore
    BookLovers bookstore is a local bookshop known for employing Lily Manning and serving as a cozy community hub for readers.
  • E. My Booky Wook
    My Booky Wook is the comedic and candid memoir by British entertainer Russell Brand, detailing his chaotic rise to fame and struggles with addiction and relationships.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43b0a88e881909b2886bd90c92992 completed April 19, 2026, 2:16 a.m.
Created at: April 10, 2026, 5:46 a.m.