Triple

T1123067
Position Surface form Disambiguated ID Type / Status
Subject Hotchkiss School E24654 entity
Predicate hasAlumnus P51 FINISHED
Object Frederick W. Smith E27671 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: Frederick W. Smith | Statement: [Hotchkiss School, hasAlumnus, Frederick W. Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frederick W. Smith
Context triple: [Hotchkiss School, hasAlumnus, Frederick W. Smith]
  • A. Frederick W. Smith chosen
    Frederick W. Smith is an American businessman and entrepreneur best known as the founder of the global courier delivery company FedEx.
  • B. Thomas Siebel
    Thomas Siebel is an American technology entrepreneur best known as the founder of Siebel Systems and later the cloud computing company C3.ai.
  • C. John F. Lehman
    John F. Lehman is an American politician and former Secretary of the Navy who later served as a commissioner on the 9/11 Commission.
  • D. Frederic L. Smith
    Frederic L. Smith was an American industrialist and early automotive pioneer who played a key role in the creation and development of General Motors.
  • E. Edward Samuel Rogers Jr.
    Edward Samuel Rogers Jr. was a prominent Canadian businessman and media executive who led Rogers Communications, one of Canada’s largest telecommunications and media companies.
  • 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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bbc09e708190b099d436d1f737eb completed March 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac539d51848190a9eb9ddaa7e4c6a8 completed March 7, 2026, 4:34 p.m.
Created at: March 1, 2026, 7:44 p.m.