Triple

T1531506
Position Surface form Disambiguated ID Type / Status
Subject Modern Operating Systems E32452 entity
Predicate publisher P29 FINISHED
Object Pearson E32445 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 | Statement: [Modern Operating Systems, publisher, Pearson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pearson
Context triple: [Modern Operating Systems, publisher, Pearson]
  • A. Pearson chosen
    Pearson is a major British multinational publishing and education company known for its textbooks, assessments, and digital learning solutions worldwide.
  • B. McGraw-Hill
    McGraw-Hill is a major American educational publishing company known for producing textbooks and academic resources across a wide range of disciplines.
  • C. Cengage Learning
    Cengage Learning is a major educational content and technology company that produces textbooks, digital learning solutions, and course materials for higher education and professional markets worldwide.
  • D. Houghton Mifflin
    Houghton Mifflin is a major American publishing company known for its educational materials, textbooks, and notable works of fiction and non-fiction.
  • E. Holt, Rinehart and Winston
    Holt, Rinehart and Winston is an American publishing company known for producing a wide range of educational textbooks and notable works of literature.
  • 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_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90816b5e88190aa92a8558e35744b completed March 5, 2026, 4:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad3706935481909455528b1bc4ce6c completed March 8, 2026, 8:44 a.m.
Created at: March 4, 2026, 7:26 p.m.