Triple

T6984002
Position Surface form Disambiguated ID Type / Status
Subject On Beauty E161916 entity
Predicate publisher P29 FINISHED
Object Penguin Press
Penguin Press is a prominent publishing imprint known for releasing acclaimed literary fiction and nonfiction titles.
 E36370 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: Penguin Press | Statement: [On Beauty, publisher, Penguin Press]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Penguin Press
Context triple: [On Beauty, publisher, Penguin Press]
  • A. Penguin Books
    Penguin Books is a major British publishing house known for its influential paperback editions and wide range of literary and non-fiction titles.
  • B. Weidenfeld & Nicolson
    Weidenfeld & Nicolson is a British publishing house known for its influential non-fiction and literary titles.
  • C. W. W. Norton & Company
    W. W. Norton & Company is an American independent publishing house known for its influential nonfiction, literary works, and widely used academic texts.
  • D. Seal Press
    Seal Press is a publishing imprint known for releasing books that focus on women's issues, feminism, and diverse female voices.
  • E. Allen Lane
    Allen Lane was a British publisher who founded Penguin Books and pioneered the mass-market paperback revolution in the 20th century.
  • 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: Penguin Press
Triple: [On Beauty, publisher, Penguin Press]
Generated description
Penguin Press is a prominent publishing imprint known for releasing acclaimed literary fiction and nonfiction titles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Penguin Press
Target entity description: Penguin Press is a prominent publishing imprint known for releasing acclaimed literary fiction and nonfiction titles.
  • A. Penguin Books chosen
    Penguin Books is a major British publishing house known for its influential paperback editions and wide range of literary and non-fiction titles.
  • B. Weidenfeld & Nicolson
    Weidenfeld & Nicolson is a British publishing house known for its influential non-fiction and literary titles.
  • C. W. W. Norton & Company
    W. W. Norton & Company is an American independent publishing house known for its influential nonfiction, literary works, and widely used academic texts.
  • D. Seal Press
    Seal Press is a publishing imprint known for releasing books that focus on women's issues, feminism, and diverse female voices.
  • E. Allen Lane
    Allen Lane was a British publisher who founded Penguin Books and pioneered the mass-market paperback revolution in the 20th century.
  • F. None of above.

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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db90e9108190a7aedeef1fb17eb4 completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a30ef6d88190aa4bb0d70d54d263 completed March 28, 2026, 9:44 a.m.
NEDg Description generation batch_69c7a3bcac208190901fd8b4b497e7fb completed March 28, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69c7a4d37b24819093bd43687256ab42 completed March 28, 2026, 9:52 a.m.
Created at: March 27, 2026, 2:31 p.m.