Triple

T5107113
Position Surface form Disambiguated ID Type / Status
Subject W. W. Grainger, Inc. E115123 entity
Predicate namedAfter P63 FINISHED
Object William W. Grainger E115123 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: William W. Grainger | Statement: [W. W. Grainger, Inc., namedAfter, William W. Grainger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William W. Grainger
Context triple: [W. W. Grainger, Inc., namedAfter, 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. 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."
  • D. William McDermott
    William McDermott is a personal name shared by multiple individuals, including various professionals and public figures, rather than referring to a single widely recognized person.
  • E. Robert L. Baird
    Robert L. Baird is an American screenwriter best known for his work on animated films for major studios such as Pixar and Disney.
  • 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_69bd4440b3348190be1251fd8b7951f1 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75a8ee7881908876859402911e5a completed March 20, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1351018b48190910c3dad6c0f9850 completed March 23, 2026, 12:41 p.m.
Created at: March 20, 2026, 1:41 p.m.