Triple

T8341095
Position Surface form Disambiguated ID Type / Status
Subject Samuel Pearson E195913 entity
Predicate associatedWith P37 FINISHED
Object Pearson plc E679854 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: Pearson plc | Statement: [Samuel Pearson, associatedWith, Pearson plc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pearson plc
Context triple: [Samuel Pearson, associatedWith, Pearson plc]
  • A. Pearson plc chosen
    Pearson plc is a British multinational publishing and education company known for its global textbook, assessment, and digital learning services.
  • B. Wolters Kluwer
    Wolters Kluwer is a global information services and publishing company specializing in professional solutions for the legal, tax, accounting, health, and regulatory sectors.
  • C. Informa plc
    Informa plc is a British multinational publishing, business intelligence, and events company known for owning academic publisher Taylor & Francis and organizing major trade exhibitions and conferences worldwide.
  • D. Thomson Reuters
    Thomson Reuters is a multinational media and information services company best known for providing news, legal, financial, and business information to professionals worldwide.
  • 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 (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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fe8989481909b32d4bfd586372d completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde79e916c8190afc90c3b12c68caf completed April 2, 2026, 3:50 a.m.
Created at: March 30, 2026, 5:58 p.m.