Triple

T3629045
Position Surface form Disambiguated ID Type / Status
Subject Yale School of Architecture E76908 entity
Predicate hasNotableFaculty P141 FINISHED
Object Peter Eisenman E73234 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: Peter Eisenman | Statement: [Yale School of Architecture, hasNotableFaculty, Peter Eisenman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Eisenman
Context triple: [Yale School of Architecture, hasNotableFaculty, Peter Eisenman]
  • A. Peter Eisenman chosen
    Peter Eisenman is an American architect and theorist known for his deconstructivist designs and intellectually rigorous, often controversial architectural works.
  • B. Philip Brenner
    Philip Brenner is a scholar and author known for his work on U.S. foreign policy and Latin American studies, often collaborating with historian James G. Blight.
  • C. Stephen Endlicher
    Stephen Endlicher was a 19th-century Austrian botanist and linguist known for his influential work in plant taxonomy and classification.
  • D. Paul Isenberg
    Paul Isenberg was a 19th-century German-born businessman and plantation manager in Hawaii who became a prominent figure in the islands’ sugar industry and local politics.
  • E. Philip Steuer
    Philip Steuer is a film producer best known for his work on major studio projects, including the Disney drama "Saving Mr. Banks."
  • 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_69ad85dc03948190b35b7189e4175bcc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2df2b708190afef6925a53ec551 completed March 8, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b433270ddc81908080698604009737 completed March 13, 2026, 3:54 p.m.
Created at: March 8, 2026, 3:23 p.m.