Triple

T17516082
Position Surface form Disambiguated ID Type / Status
Subject The Broad E426571 entity
Predicate architectOfRecord P138 FINISHED
Object Gensler 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: Gensler | Statement: [The Broad, architectOfRecord, Gensler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gensler
Context triple: [The Broad, architectOfRecord, Gensler]
  • A. Gensler chosen
    Gensler is a global architecture and design firm known for its influential commercial, cultural, and workplace projects around the world.
  • B. Art Gensler
    Art Gensler was an American architect and entrepreneur best known as the founder of Gensler, one of the world’s largest and most influential architecture and design firms.
  • C. Albert Kahn Associates
    Albert Kahn Associates is an architecture and engineering firm, founded by industrial architect Albert Kahn, renowned for designing early 20th-century factories and industrial facilities.
  • D. Perkins+Will
    Perkins+Will is a global architecture and design firm known for its innovative, sustainable projects across sectors such as education, healthcare, and cultural institutions.
  • E. Cundey
    Cundey is a surname most notably associated with American cinematographer Dean Cundey, known for his work on influential genre and blockbuster films.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4526097388190ba1a949064962a24 completed April 19, 2026, 3:56 a.m.
Created at: April 10, 2026, 5:49 a.m.