Triple

T805896
Position Surface form Disambiguated ID Type / Status
Subject Raising Trump E17431 entity
Predicate publisher P29 FINISHED
Object Gallery Books E22622 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: Gallery Books | Statement: [Raising Trump, publisher, Gallery Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gallery Books
Context triple: [Raising Trump, publisher, Gallery Books]
  • A. Gallery Books chosen
    Gallery Books is a publishing imprint known for releasing a wide range of commercial fiction and nonfiction titles, including bestsellers and works by popular contemporary authors.
  • B. Pan Books
    Pan Books is a British publishing imprint known for producing popular fiction and classic titles, including major science fiction works.
  • C. Times Books
    Times Books is a publishing imprint known for producing nonfiction works, particularly in the fields of history, politics, and current affairs.
  • D. Harmony Books
    Harmony Books is a publishing imprint known for releasing a range of popular nonfiction and literary titles, including works in science, culture, and contemporary thought.
  • E. Metropolitan Books
    Metropolitan Books is an American publishing imprint known for releasing influential and often politically engaged nonfiction works by prominent intellectuals and public thinkers.
  • 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aac1142881908f6f78bfdb887930 completed March 1, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69a68927ba948190999fd1459dd62cca completed March 3, 2026, 7:09 a.m.
Created at: March 1, 2026, 7:38 p.m.