Triple

T19983921
Position Surface form Disambiguated ID Type / Status
Subject Troubled Blood E493886 entity
Predicate publisher P29 FINISHED
Object Sphere Books 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: Sphere Books | Statement: [Troubled Blood, publisher, Sphere Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sphere Books
Context triple: [Troubled Blood, publisher, Sphere Books]
  • A. Sphere Books chosen
    Sphere Books is a British publishing imprint known for releasing popular commercial fiction, including crime and thriller titles.
  • B. Square Books
    Square Books is a renowned independent bookstore and literary hub located on the historic town square in Oxford, Mississippi.
  • C. Pocket Books
    Pocket Books is a long-running American mass-market paperback publisher known for popular fiction and non-fiction titles, operating as an imprint of Simon & Schuster.
  • D. Fox Books
    Fox Books is a large, corporate bookstore chain featured in the film "You've Got Mail," representing the big-box competitor to independent bookshops.
  • E. Forge Books
    Forge Books is an American publishing imprint known for releasing a wide range of commercial fiction, including thrillers, mysteries, and general-interest novels, under the broader Tor/Forge publishing group.
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65d157d088190af861608936e59b7 completed April 20, 2026, 5:06 p.m.
Created at: April 11, 2026, 3:28 p.m.