Triple

T4979490
Position Surface form Disambiguated ID Type / Status
Subject Dykes to Watch Out For E111847 entity
Predicate publisher P29 FINISHED
Object Beacon Press E188033 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: Beacon Press | Statement: [Dykes to Watch Out For, publisher, Beacon Press]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beacon Press
Context triple: [Dykes to Watch Out For, 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. 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.
  • E. Da Capo Press
    Da Capo Press is an American publishing imprint known for its nonfiction books on history, music, popular culture, and current affairs.
  • 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_69bd441adc208190b70a033a0741d01e completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd723418e881908f1e43b1be0a2f17 completed March 20, 2026, 4:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a0ac8d48190b9d050e26b67a794 completed March 21, 2026, 12:07 p.m.
Created at: March 20, 2026, 1:33 p.m.