Triple

T21497790
Position Surface form Disambiguated ID Type / Status
Subject Young & Rubicam E530399 entity
Predicate hasClient P734 FINISHED
Object Xerox 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: Xerox | Statement: [Young & Rubicam, hasClient, Xerox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xerox
Context triple: [Young & Rubicam, hasClient, Xerox]
  • A. Xerox chosen
    Xerox is an American corporation best known for pioneering photocopiers and influential computing innovations, including early graphical user interfaces and office software.
  • B. Ricoh
    Ricoh is a Japanese multinational imaging and electronics company best known for its cameras, printers, copiers, and office equipment solutions.
  • C. Konica Minolta
    Konica Minolta is a Japanese multinational technology company best known for its imaging products, including printers, copiers, and optical devices.
  • D. 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.
  • E. Xerox Network Systems
    Xerox Network Systems (XNS) is a pioneering suite of network protocols developed by Xerox in the late 1970s that strongly influenced later networking technologies and protocol stacks.
  • 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_69e0c45bd15481909fba5910765cdda2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea58faa08190ab9f60b0db3c425b completed April 23, 2026, 9:46 a.m.
Created at: April 16, 2026, 6:23 p.m.