Triple

T17964062
Position Surface form Disambiguated ID Type / Status
Subject The Hero in History E449155 entity
Predicate publisher P29 FINISHED
Object Beacon Press 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: Beacon Press | Statement: [The Hero in History, publisher, Beacon Press]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beacon Press
Context triple: [The Hero in History, publisher, Beacon Press]
  • A. Beacon Press chosen
    Beacon Press is an independent, progressive nonprofit book publisher based in Boston known for works on social justice, critical thought, and contemporary issues.
  • B. The New Press
    The New Press is an independent, nonprofit book publisher known for progressive, socially engaged works that promote education, equity, and public debate.
  • C. GNU Press
    GNU Press is the publishing arm of the GNU Project that produces and distributes books and materials advocating free software principles and digital freedom.
  • D. Duke University Press
    Duke University Press is an academic publishing house affiliated with Duke University, known for influential scholarly books and journals in the humanities and social sciences.
  • E. New York Review Books
    New York Review Books is an independent publishing imprint known for its curated series of classic, overlooked, and international works of literature and nonfiction.
  • 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b135cd2c8190a6190cf6611dbe08 completed April 19, 2026, 10:40 a.m.
Created at: April 10, 2026, 10:22 a.m.