Triple

T11560517
Position Surface form Disambiguated ID Type / Status
Subject Modern Probability Theory and Its Applications E274129 entity
Predicate publisher P29 FINISHED
Object John Wiley & Sons E877307 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: John Wiley & Sons | Statement: [Modern Probability Theory and Its Applications, publisher, John Wiley & Sons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Wiley & Sons
Context triple: [Modern Probability Theory and Its Applications, publisher, John Wiley & Sons]
  • A. John Wiley & Sons chosen
    John Wiley & Sons is a global publishing company known for its academic, professional, and educational books, journals, and digital content.
  • B. Wiley
    Wiley is a masculine given name, often associated with notable American figures such as aviator Wiley Post.
  • C. Wiley
    Wiley is a small unincorporated rural community located in Prowers County in southeastern Colorado.
  • D. Jossey-Bass
    Jossey-Bass is an American publishing imprint known for its books on business, leadership, education, and nonprofit management.
  • E. McGraw-Hill
    McGraw-Hill is a major American educational publishing company known for producing textbooks and academic resources across a wide range of disciplines.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88a899d4481909a3bce3147763b51 completed April 10, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e88b84d48190948243646bb5fd2b completed April 21, 2026, 3:01 a.m.
Created at: April 8, 2026, 9:37 p.m.