Triple

T20749159
Position Surface form Disambiguated ID Type / Status
Subject Art Gensler E510670 entity
Predicate founded P104 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: [Art Gensler, founded, Gensler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gensler
Context triple: [Art Gensler, founded, 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c228af288190a20829d45c034c24 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:34 p.m.