Triple

T8964990
Position Surface form Disambiguated ID Type / Status
Subject Debra E214105 entity
Predicate publisherOfWork P1760 FINISHED
Object Tor Books E159906 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: Tor Books | Statement: [Debra, publisherOfWork, Tor Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tor Books
Context triple: [Debra, publisherOfWork, Tor Books]
  • A. Tor Books chosen
    Tor Books is a major American science fiction and fantasy publishing imprint known for releasing influential genre novels and series.
  • B. Titan Books
    Titan Books is a British publishing house known for releasing tie-in fiction, art books, and non-fiction works based on popular film, television, and comic franchises.
  • C. 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.
  • D. 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.
  • E. Orbit Books
    Orbit Books is a major science fiction and fantasy publishing imprint known for releasing works by prominent genre authors worldwide.
  • 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_69ca839cd6008190a1546a701a56710c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc674c4be8819090d46aba8ab40af3 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc95514408190ad442069daec0459 completed April 3, 2026, 2:06 p.m.
Created at: March 30, 2026, 7:01 p.m.