Triple

T17170591
Position Surface form Disambiguated ID Type / Status
Subject White House Burning E416718 entity
Predicate publisher P29 FINISHED
Object Pantheon Books E7019 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: Pantheon Books | Statement: [White House Burning, publisher, Pantheon Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pantheon Books
Context triple: [White House Burning, publisher, Pantheon Books]
  • A. Pantheon Books chosen
    Pantheon Books is an American publishing imprint known for releasing influential works in politics, history, and critical theory.
  • B. Pyramid Books
    Pyramid Books was a mid-20th-century American paperback publisher known for releasing science fiction, fantasy, and genre fiction titles.
  • C. 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.
  • D. World Publishing Company
    World Publishing Company was a prominent American book publisher known for producing a wide range of trade and literary titles in the mid-20th century.
  • E. The Viking Press
    The Viking Press is an American publishing company known for releasing influential literary works by prominent authors throughout the 20th century.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc097950819095631ee5679e03af completed April 18, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fc83984819098c98b75cf021e3a completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:37 a.m.