Triple

T5654779
Position Surface form Disambiguated ID Type / Status
Subject Wells Fargo E124590 entity
Predicate foundedBy P104 FINISHED
Object Henry Wells E243478 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 Wells | Statement: [Wells Fargo, foundedBy, Henry Wells]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Wells
Context triple: [Wells Fargo, foundedBy, Henry Wells]
  • A. Henry Wells chosen
    Henry Wells was a 19th-century American businessman and express pioneer who co-founded both American Express and Wells Fargo.
  • B. Charles Burroughs
    Charles Burroughs is an American historian and educator best known as a co-founder of Chicago’s DuSable Black History Museum and Education Center, one of the first independent Black history museums in the United States.
  • C. Henry T. Hazard
    Henry T. Hazard was a 19th-century American lawyer and politician who served as mayor of Los Angeles, California.
  • D. George Wells
    George Wells was an American screenwriter known for his work on classic Hollywood films, including several MGM musicals and comedies.
  • E. Henry Miller Shreve
    Henry Miller Shreve was a 19th-century American steamboat captain and engineer renowned for pioneering river navigation improvements on the Mississippi and Red Rivers.
  • 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_69c0082774a481909d7e63fb2aad56ac completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022f998688190b18eb6469e8c054f completed March 22, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d9b43288190b6d7c610546b52f2 completed March 22, 2026, 8:14 p.m.
Created at: March 22, 2026, 3:42 p.m.