Triple

T10034763
Position Surface form Disambiguated ID Type / Status
Subject Richard Powers E204937 entity
Predicate employer P7 FINISHED
Object Ace Books E309640 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: Ace Books | Statement: [Richard Powers, employer, Ace Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ace Books
Context triple: [Richard Powers, employer, Ace Books]
  • A. Ace Books chosen
    Ace Books is an American publishing company best known for its science fiction and fantasy paperbacks, including influential works by authors such as Philip K. Dick and Ursula K. Le Guin.
  • B. Arrow Books
    Arrow Books is a British publishing imprint of Cornerstone, part of Penguin Random House UK, known for releasing popular commercial fiction and non-fiction titles.
  • C. Pyramid Books
    Pyramid Books was a mid-20th-century American paperback publisher known for releasing science fiction, fantasy, and genre fiction titles.
  • D. Atlantic Books
    Atlantic Books is an independent British publishing house known for releasing a wide range of literary fiction and non-fiction titles, including notable works by prominent contemporary authors.
  • 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 (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_69ca834d77188190ad645e33e8ca3200 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdce4a515c8190baec86d924623b12 completed April 2, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28250be608190b7e2b809672cdd78 completed April 5, 2026, 3:40 p.m.
Created at: March 30, 2026, 8:54 p.m.