Triple

T12177165
Position Surface form Disambiguated ID Type / Status
Subject Roy Ash E290116 entity
Predicate boardMemberOf P10 FINISHED
Object Black and Decker E391050 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: Black and Decker | Statement: [Roy Ash, boardMemberOf, Black and Decker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black and Decker
Context triple: [Roy Ash, boardMemberOf, Black and Decker]
  • A. Black+Decker chosen
    Black+Decker is a well-known American brand that manufactures power tools, home improvement products, and small household appliances.
  • B. DeWalt
    DeWalt is a prominent American brand of power tools and equipment widely used in construction, woodworking, and professional trades.
  • C. Dremel
    Dremel is a well-known power tool brand specializing in high-speed rotary tools and accessories used for precision cutting, grinding, sanding, and engraving in DIY, crafting, and professional applications.
  • D. Stihl
    Stihl is a German manufacturer renowned worldwide for its chainsaws and outdoor power equipment.
  • E. Husqvarna
    Husqvarna is a Swedish manufacturer best known for its outdoor power products such as chainsaws, lawn mowers, and garden equipment, with historical roots in firearms and motorcycles.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915fa6ff08190a1ddb3606c229cad completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6ab19288190a882c842d74a2e30 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.