Triple

T4962075
Position Surface form Disambiguated ID Type / Status
Subject Kehinde Wiley E111431 entity
Predicate familyName P18 FINISHED
Object Wiley E311386 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: Wiley | Statement: [Kehinde Wiley, familyName, Wiley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wiley
Context triple: [Kehinde Wiley, familyName, Wiley]
  • A. Wiley chosen
    Wiley is a masculine given name, often associated with notable American figures such as aviator Wiley Post.
  • 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. Wiley-Blackwell
    Wiley-Blackwell is a major academic and professional publishing company known for producing scholarly journals and books across a wide range of disciplines.
  • D. Jossey-Bass
    Jossey-Bass is an American publishing imprint known for its books on business, leadership, education, and nonprofit management.
  • E. Chapman and Hall
    Chapman and Hall was a prominent 19th-century British publishing house best known for issuing works by major Victorian authors such as Charles Dickens and Anthony Trollope.
  • 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_69bd4419393c819086319a6fe4bf8542 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71dc06a48190827d54a5c0351aab completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81ea8cc08190af40098ca99364f1 completed March 21, 2026, 11:32 a.m.
Created at: March 20, 2026, 1:32 p.m.