Triple

T6523065
Position Surface form Disambiguated ID Type / Status
Subject Mark Hurd E151233 entity
Predicate employer P7 FINISHED
Object NCR Corporation E14066 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: NCR Corporation | Statement: [Mark Hurd, employer, NCR Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NCR Corporation
Context triple: [Mark Hurd, employer, NCR Corporation]
  • A. NCR Corporation chosen
    NCR Corporation is a global technology company best known for its point-of-sale systems, ATMs, and other financial and retail transaction solutions.
  • B. NCR
    NCR is the commonly used acronym for the National Capital Region of the Philippines, encompassing Metro Manila and serving as the country’s political, economic, and cultural center.
  • C. NCR
    NCR is an Indian Railways zone headquartered in Prayagraj that manages key rail routes across parts of Uttar Pradesh, Madhya Pradesh, Rajasthan, and Haryana.
  • D. Fiserv, Inc.
    Fiserv, Inc. is a global financial technology company that provides payment processing, banking solutions, and related services to financial institutions, businesses, and merchants.
  • E. First Data Corporation
    First Data Corporation is a global financial services and payment processing company that provides merchant transaction processing, point-of-sale solutions, and related technology services to businesses and financial institutions.
  • 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_69c687f522748190b3058405553cdabd completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ad970afc81909d3231203eacf413 completed March 27, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb74dfac81908eb44811869450ae completed March 27, 2026, 6:24 p.m.
Created at: March 27, 2026, 1:45 p.m.