Triple

T18487750
Position Surface form Disambiguated ID Type / Status
Subject Luna: New Moon E451733 entity
Predicate publisher P29 FINISHED
Object Tor 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: Tor Books | Statement: [Luna: New Moon, publisher, Tor Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tor Books
Context triple: [Luna: New Moon, publisher, 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. 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.
  • 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e531d8bac4819099306abbf78b9565 completed April 19, 2026, 7:49 p.m.
Created at: April 10, 2026, 11:35 a.m.