Triple

T21641592
Position Surface form Disambiguated ID Type / Status
Subject Harvey Firestone E534099 entity
Predicate friend P8712 FINISHED
Object Henry Ford 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: Henry Ford | Statement: [Harvey Firestone, friend, Henry Ford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Ford
Context triple: [Harvey Firestone, friend, Henry Ford]
  • A. Henry Ford chosen
    Henry Ford was an American industrialist and pioneer of modern assembly-line mass production who revolutionized the automobile industry and made cars affordable to the general public.
  • B. William C. Durant
    William C. Durant was an American automobile pioneer and entrepreneur best known as the co-founder and early leader of General Motors and Chevrolet.
  • C. Henry Justice Ford
    Henry Justice Ford was a British illustrator best known for his richly detailed and imaginative artwork in Andrew Lang’s Fairy Books during the late 19th and early 20th centuries.
  • D. Ransom E. Olds
    Ransom E. Olds was an American automotive pioneer and industrialist who helped launch the mass-produced automobile era in the United States.
  • E. Henry Leland
    Henry Leland was an American engineer and industrialist best known for founding the Cadillac Automobile Company and playing a key role in the development of precision manufacturing in the automotive industry.
  • 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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef53917f3c81909e7f4074beecefd3 completed April 27, 2026, 12:16 p.m.
Created at: April 16, 2026, 6:35 p.m.