Triple

T16378991
Position Surface form Disambiguated ID Type / Status
Subject Atria Books E397750 entity
Predicate hasImprint P2763 FINISHED
Object Keywords Press
Keywords Press is a publishing imprint known for releasing books by prominent digital influencers and online personalities.
E1211038 NE FINISHED

How this triple was built (4 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: Keywords Press | Statement: [Atria Books, hasImprint, Keywords Press]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keywords Press
Context triple: [Atria Books, hasImprint, Keywords Press]
  • A. Pressly
    Pressly is a surname most notably associated with American actress and model Jaime Pressly.
  • B. Kathpress
    Kathpress is the official Catholic news agency in Austria, providing nationwide coverage of church-related news, events, and issues.
  • C. Ecco Press
    Ecco Press is an American publishing imprint known for literary fiction, poetry, and high-quality nonfiction.
  • D. Science Press
    Science Press was a publishing company established by psychologist and editor James McKeen Cattell, known for producing scientific and academic works in the early 20th century.
  • E. Press and Journal
    The Press and Journal is a long-established regional daily newspaper based in Aberdeen, Scotland, known for its coverage of news in the north and northeast of the country.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Keywords Press
Triple: [Atria Books, hasImprint, Keywords Press]
Generated description
Keywords Press is a publishing imprint known for releasing books by prominent digital influencers and online personalities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Keywords Press
Target entity description: Keywords Press is a publishing imprint known for releasing books by prominent digital influencers and online personalities.
  • A. Pressly
    Pressly is a surname most notably associated with American actress and model Jaime Pressly.
  • B. Kathpress
    Kathpress is the official Catholic news agency in Austria, providing nationwide coverage of church-related news, events, and issues.
  • C. Ecco Press
    Ecco Press is an American publishing imprint known for literary fiction, poetry, and high-quality nonfiction.
  • D. Science Press
    Science Press was a publishing company established by psychologist and editor James McKeen Cattell, known for producing scientific and academic works in the early 20th century.
  • E. Press and Journal
    The Press and Journal is a long-established regional daily newspaper based in Aberdeen, Scotland, known for its coverage of news in the north and northeast of the country.
  • F. None of above. chosen

Provenance (5 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319da3c6c8190a9ccf744996c31e8 completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00356658e881908131a3c60ed5499d completed May 10, 2026, 7:36 a.m.
NEDg Description generation batch_6a00383a7180819092ea605aa8ef1672 completed May 10, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_6a00391645ac819092a06dc6813604fa completed May 10, 2026, 7:51 a.m.
Created at: April 10, 2026, 5:08 a.m.