Triple

T19221978
Position Surface form Disambiguated ID Type / Status
Subject Fisher Building E480637 entity
Predicate architect P184 FINISHED
Object Albert Kahn 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: Albert Kahn | Statement: [Fisher Building, architect, Albert Kahn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albert Kahn
Context triple: [Fisher Building, architect, Albert Kahn]
  • A. Albert Kahn chosen
    Albert Kahn was a prominent early 20th-century American industrial architect, renowned for revolutionizing factory design and shaping much of Detroit’s architectural landscape.
  • B. Leon Moisseiff
    Leon Moisseiff was a prominent early 20th-century civil engineer known for pioneering deflection theory in suspension bridge design and contributing to several major American bridges.
  • C. Edward Nichols
    Edward Nichols was a physicist best known for founding the influential scientific journal Physical Review.
  • D. Max Lilienthal
    Max Lilienthal was a 19th-century German-American rabbi and educator known for his leadership in early American Reform Judaism and his efforts to modernize Jewish education.
  • E. Daniel Guggenheim
    Daniel Guggenheim was an American industrialist and philanthropist best known for using his mining fortune to support aviation research and development in the early 20th century.
  • 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_69d8e8ccb8f48190ad420098e74fb1db completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa3fa9348190920f9d41b8beb900 completed April 20, 2026, 10:04 a.m.
Created at: April 10, 2026, 1:24 p.m.