Triple

T7548445
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Khuri Chandler E178465 entity
Predicate notableWork P4 FINISHED
Object Goodreads E31210 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: Goodreads | Statement: [Elizabeth Khuri Chandler, notableWork, Goodreads]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goodreads
Context triple: [Elizabeth Khuri Chandler, notableWork, Goodreads]
  • A. Goodreads chosen
    Goodreads is a popular social cataloging website where readers track, rate, review, and discover books and reading recommendations.
  • B. Google Play Books
    Google Play Books is a digital distribution service and e-book/audiobook reader platform from Google that lets users purchase, download, and read or listen to books across devices.
  • C. 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.
  • D. 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.
  • E. OverDrive
    OverDrive is a digital distribution platform that lets users borrow ebooks, audiobooks, and other media from public libraries and schools.
  • 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_69c69f2cbe08819088f9eb0c03ef529b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f89b9afc8190b3e61a8e2cea7ad7 completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f2b0de48190a854b4d4935c2254 completed March 28, 2026, 9:59 p.m.
Created at: March 27, 2026, 3:49 p.m.