Triple

T1577858
Position Surface form Disambiguated ID Type / Status
Subject Charles Geschke E33693 entity
Predicate employer P7 FINISHED
Object Xerox E71175 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: Xerox | Statement: [Charles Geschke, employer, Xerox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xerox
Context triple: [Charles Geschke, employer, 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. Hewlett-Packard
    Hewlett-Packard is a pioneering American technology company known for its innovations in computing, printers, and enterprise IT solutions.
  • C. Kodak
    Kodak is an unincorporated community in Sevier County, Tennessee, known as a growing residential and commercial area near the Great Smoky Mountains and the city of Knoxville.
  • D. Eastman Kodak Company
    Eastman Kodak Company is an American technology and photography company historically known for pioneering consumer and professional film, cameras, and imaging products.
  • E. R. R. Donnelley & Sons Company
    R. R. Donnelley & Sons Company is a major American printing and communications firm known for its long history in commercial printing, publishing services, and business communications solutions.
  • 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_69a885f27a4c8190a4622252cdf54c00 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908d571f081908acec43ff2ef112d completed March 5, 2026, 4:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad402e1cc48190bb69628bc63d6f4c completed March 8, 2026, 9:23 a.m.
Created at: March 4, 2026, 7:27 p.m.