Triple

T22780704
Position Surface form Disambiguated ID Type / Status
Subject McGraw-Hill Building E563827 entity
Predicate associatedWith P37 FINISHED
Object McGraw-Hill — 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: McGraw-Hill | Statement: [McGraw-Hill Building, associatedWith, McGraw-Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: McGraw-Hill
Context triple: [McGraw-Hill Building, associatedWith, McGraw-Hill]
  • A. McGraw-Hill chosen
    McGraw-Hill is a major American educational publishing company known for producing textbooks and academic resources across a wide range of disciplines.
  • B. Wiley
    Wiley is a small unincorporated rural community located in Prowers County in southeastern Colorado.
  • C. Wiley
    Wiley is a surname most prominently associated with Kehinde Wiley, the acclaimed American portrait painter known for his vibrant, large-scale depictions of Black subjects.
  • D. Wiley
    Wiley is a pioneering British grime MC and producer, often dubbed the "Godfather of Grime" for his foundational role in shaping the genre.
  • E. Wiley
    Wiley is a masculine given name, often associated with notable American figures such as aviator Wiley Post.
  • 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_69e2455500788190b4b33030461f3bbd completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17c2cab0881908df1d0629b43d350 completed April 29, 2026, 3:34 a.m.
Created at: April 17, 2026, 3:28 p.m.