Triple

T8508130
Position Surface form Disambiguated ID Type / Status
Subject David G. Hartwell E201385 entity
Predicate employer P7 FINISHED
Object Berkley Books E190644 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: Berkley Books | Statement: [David G. Hartwell, employer, Berkley Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berkley Books
Context triple: [David G. Hartwell, employer, Berkley Books]
  • A. Berkley Books chosen
    Berkley Books is a major American trade book publisher known for its wide range of commercial fiction and non-fiction titles, including romance, mystery, science fiction, and popular nonfiction.
  • B. Perseus Books Group
    Perseus Books Group is an American publishing company known for its diverse portfolio of imprints and distribution services for independent publishers.
  • C. Little, Brown and Company
    Little, Brown and Company is a long-established American publishing house known for releasing influential works of fiction and nonfiction by prominent authors.
  • D. G. P. Putnam’s Sons
    G. P. Putnam’s Sons is a long-established American publishing house known for producing a wide range of fiction and nonfiction titles.
  • E. Signet Books
    Signet Books is an American paperback publishing imprint known for releasing popular fiction and genre titles, including works by major authors such as Stephen King.
  • 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_69ca8320e5748190ac2c585a0bba8193 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5df74e8819086b1445cc907e371 completed March 31, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e37b0548190908632fd167efac1 completed April 2, 2026, 11:08 a.m.
Created at: March 30, 2026, 6:15 p.m.