Triple

T12189093
Position Surface form Disambiguated ID Type / Status
Subject John Deere E290412 entity
Predicate namedAfter P63 FINISHED
Object John Deere (blacksmith) E964428 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: John Deere (blacksmith) | Statement: [John Deere, namedAfter, John Deere (blacksmith)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Deere (blacksmith)
Context triple: [John Deere, namedAfter, John Deere (blacksmith)]
  • A. John Deere (blacksmith) chosen
    John Deere (blacksmith) was a 19th-century American inventor and entrepreneur best known for creating the first commercially successful steel plow and founding the agricultural equipment company that bears his name.
  • B. Cyrus McCormick
    Cyrus McCormick was a 19th-century American inventor and industrialist best known for developing the mechanical reaper, which revolutionized agriculture.
  • C. Samuel Ames
    Samuel Ames was a 19th-century American lawyer, politician, and Chief Justice of the Rhode Island Supreme Court.
  • D. William Farmer
    William Farmer is an American voice actor best known for providing the voice of Disney's Goofy and other iconic animated characters.
  • E. John Woodbury
    John Woodbury was a land developer known for planning and promoting the early suburban community of Altadena, California.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c5102848190ad652c3d6445f65a completed April 10, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a8d24508190b0a60ca76d775b1e completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:50 p.m.