Triple

T22384360
Position Surface form Disambiguated ID Type / Status
Subject John Makinson E553356 entity
Predicate employer P7 FINISHED
Object Penguin Group 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: Penguin Group | Statement: [John Makinson, employer, Penguin Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penguin Group
Context triple: [John Makinson, employer, Penguin Group]
  • A. Penguin Group chosen
    Penguin Group was a major British publishing company renowned for its influential paperback editions and literary classics before its merger into Penguin Random House.
  • B. Egmont Group
    Egmont Group is an international network of national financial intelligence units that collaborate to combat money laundering, terrorist financing, and other financial crimes.
  • C. Egmont Group
    Egmont Group is a Danish media conglomerate and charitable foundation that operates in publishing, film, television, and digital entertainment across multiple countries.
  • D. Encyclopaedia Britannica Group
    Encyclopaedia Britannica Group is the corporate entity that oversees the Encyclopaedia Britannica brand and its related educational and reference publishing operations.
  • E. Bertelsmann
    Bertelsmann is a major German multinational media, services, and education conglomerate known for owning prominent publishing and broadcasting companies worldwide.
  • 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_69e11e4cf87c8190a1ff474daec326b7 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1582e58dc8190a2ad6b10c9d1f951 completed April 29, 2026, 1 a.m.
Created at: April 16, 2026, 8:45 p.m.