Triple

T19763447
Position Surface form Disambiguated ID Type / Status
Subject Harn Museum of Art E474689 entity
Predicate architect P184 FINISHED
Object Perkins & Will 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: Perkins & Will | Statement: [Harn Museum of Art, architect, Perkins & Will]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perkins & Will
Context triple: [Harn Museum of Art, architect, Perkins & Will]
  • A. Perkins+Will chosen
    Perkins+Will is a global architecture and design firm known for its innovative, sustainable projects across sectors such as education, healthcare, and cultural institutions.
  • B. Perkins Eastman
    Perkins Eastman is a global architecture and design firm known for large-scale urban, mixed-use, and institutional projects.
  • C. Skidmore, Owings & Merrill
    Skidmore, Owings & Merrill is a prominent American architecture and engineering firm renowned for designing major modernist and high-rise buildings worldwide.
  • D. Kohn Pedersen Fox
    Kohn Pedersen Fox is a prominent American architecture firm known for designing major skyscrapers and large-scale urban projects worldwide.
  • E. The Perkins and Will partnership
    The Perkins and Will partnership is a prominent American architecture and design firm known for its innovative, large-scale commercial and institutional projects.
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65320df3c8190b34f9908d5da48d9 completed April 20, 2026, 4:24 p.m.
Created at: April 10, 2026, 1:48 p.m.