Triple

T15038599
Position Surface form Disambiguated ID Type / Status
Subject The Broom of the System E378541 entity
Predicate originalPublisherImprint P2763 FINISHED
Object Viking Penguin E36370 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: Viking Penguin | Statement: [The Broom of the System, originalPublisherImprint, Viking Penguin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viking Penguin
Context triple: [The Broom of the System, originalPublisherImprint, Viking Penguin]
  • A. Puffin Books
    Puffin Books is a prominent children’s book imprint known for publishing classic and contemporary literature for young readers worldwide.
  • B. Andersen Press
    Andersen Press is a British independent publishing house best known for its award-winning children's and young adult books.
  • C. 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.
  • D. Egmont Books
    Egmont Books is a British children's publishing company best known for producing popular series such as The Railway Series featuring Thomas the Tank Engine.
  • E. Hayden Books
    Hayden Books was a technical and computer science publishing imprint known for producing influential programming and computing manuals in the late 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82cf3848190b0b2b6c9e65bc70b completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9de1c3a48190a9b3959a95627175 completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:59 a.m.