Triple

T4038625
Position Surface form Disambiguated ID Type / Status
Subject CBS Building E83887 entity
Predicate structuralEngineer P616 FINISHED
Object Fred Severud E378104 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: Fred Severud | Statement: [CBS Building, structuralEngineer, Fred Severud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fred Severud
Context triple: [CBS Building, structuralEngineer, Fred Severud]
  • A. Fred Severud chosen
    Fred Severud was a prominent structural engineer known for his innovative designs on major 20th-century buildings in the United States.
  • B. Art Weingartner
    Art Weingartner is a paranoid, nosy suburban neighbor and comic sidekick in the dark comedy film "The 'Burbs."
  • C. Ron Hansen
    Ron Hansen is an American novelist and essayist best known for his historical fiction, including the novel that inspired the film "The Assassination of Jesse James by the Coward Robert Ford."
  • D. Harry Kurnitz
    Harry Kurnitz was an American playwright, novelist, and screenwriter known for his witty crime and mystery scripts in mid-20th-century Hollywood.
  • E. Ed Dorn
    Ed Dorn was an American poet associated with the Black Mountain school, known for his incisive, often politically charged verse and his long poem "Gunslinger."
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb37e24c81908d6357ab8ba5388d completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55646e5d881909eadd0640a4f1796 completed March 14, 2026, 12:36 p.m.
Created at: March 9, 2026, 3:37 p.m.