Triple

T14891739
Position Surface form Disambiguated ID Type / Status
Subject Saul Bass E359767 entity
Predicate designedLogoFor P26611 FINISHED
Object Minolta E895692 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: Minolta | Statement: [Saul Bass, designedLogoFor, Minolta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minolta
Context triple: [Saul Bass, designedLogoFor, Minolta]
  • A. Konica Minolta chosen
    Konica Minolta is a Japanese multinational technology company best known for its imaging products, including printers, copiers, and optical devices.
  • B. Ricoh
    Ricoh is a Japanese multinational imaging and electronics company best known for its cameras, printers, copiers, and office equipment solutions.
  • C. Xerox
    Xerox is an American corporation best known for pioneering photocopiers and influential computing innovations, including early graphical user interfaces and office software.
  • D. Ricoh Manresa
    Ricoh Manresa is a professional basketball club based in Manresa, Spain, that competes in the Spanish basketball league system.
  • E. Kodak Alaris
    Kodak Alaris is a company that focuses on imaging and photographic products and services, including film, photo printing, and document management solutions, formed from the former consumer imaging assets of Eastman Kodak.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded5f883288190af602633fa7d6860 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b65ac5c81908691de1161d07de0 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 2:10 a.m.