Triple

T4130185
Position Surface form Disambiguated ID Type / Status
Subject Frick family E85021 entity
Predicate hasNotableMember P304 FINISHED
Object Henry Clay Frick E713 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: Henry Clay Frick | Statement: [Frick family, hasNotableMember, Henry Clay Frick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Clay Frick
Context triple: [Frick family, hasNotableMember, Henry Clay Frick]
  • A. Henry Clay Frick chosen
    Henry Clay Frick was an American industrialist and financier best known for his leadership in the steel and coke industries and his role in the development of Carnegie Steel.
  • B. Junius Spencer Morgan
    Junius Spencer Morgan was a prominent 19th-century American banker and financier, best known as the father and business predecessor of J. P. Morgan.
  • C. John D. Rockefeller
    John D. Rockefeller was an American oil magnate and philanthropist who founded Standard Oil and became one of the wealthiest individuals in modern history.
  • D. Charles L. Tiffany
    Charles L. Tiffany was an American jeweler and founder of the luxury jewelry and specialty retailer Tiffany & Co.
  • E. Andrew Carnegie
    Andrew Carnegie was a Scottish-American industrialist and philanthropist who led the expansion of the U.S. steel industry in the late 19th century and became one of history’s most prominent benefactors of education and science.
  • 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_69aed935ccd881909dc61f81bcdb7a78 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af021e3d6481909b47fdd98e9e4946 completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576bf503c8190be44139a908ee42d completed March 14, 2026, 2:54 p.m.
Created at: March 9, 2026, 3:42 p.m.