Triple

T20203771
Position Surface form Disambiguated ID Type / Status
Subject William W. Grainger E493292 entity
Predicate name P16 FINISHED
Object William W. Grainger 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: William W. Grainger | Statement: [William W. Grainger, name, William W. Grainger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William W. Grainger
Context triple: [William W. Grainger, name, William W. Grainger]
  • A. William W. Grainger chosen
    William W. Grainger was an American industrialist and founder of the industrial supply company W.W. Grainger, whose philanthropy significantly supported engineering education.
  • B. William Grainger
    William Grainger was an American political figure after whom Grainger County in Tennessee was named.
  • C. James A. Ryerson
    James A. Ryerson is an American Thoroughbred racehorse trainer known for conditioning top-level runners such as Unbridled's Song.
  • D. Martin A. Ryerson
    Martin A. Ryerson was a prominent Chicago lawyer, businessman, and philanthropist of the late 19th and early 20th centuries, known for his major contributions to institutions such as the University of Chicago and the Art Institute of Chicago.
  • E. William H. Ziegler
    William H. Ziegler was an American film editor known for his work on major Hollywood productions, including the musical comedy-drama "Funny Girl."
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d8f90108190b72e37c0056de0f8 completed April 20, 2026, 6:16 p.m.
Created at: April 11, 2026, 11:38 p.m.