Triple

T17835260
Position Surface form Disambiguated ID Type / Status
Subject Vivian Bagley E445366 entity
Predicate networkOfAppearance P129364 FINISHED
Object CBS NE NERFINISHED

How this triple was built (4 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: CBS | Statement: [Vivian Bagley, networkOfAppearance, CBS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CBS
Context triple: [Vivian Bagley, networkOfAppearance, CBS]
  • A. CBS
    CBS is a leading Danish university in Copenhagen specializing in business and economics education and research.
  • B. CBS
    CBS is the National Rail station code assigned to Coatbridge Sunnyside railway station in North Lanarkshire, Scotland.
  • C. CBS
    CBS is the commonly used abbreviation for the Commission for Basic Systems, a specialized body focused on foundational infrastructure and standards, likely within an international or governmental organizational context.
  • D. CBS
    CBS is the acronym for the Central Bank of Somalia, the country’s primary monetary authority responsible for issuing currency and overseeing financial stability.
  • E. CBS
    CBS is the Curtin Business School, a leading Australian institution offering business education and research as part of Curtin University.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CBS
Target entity description: CBS is a major American broadcast television and radio network known for its wide range of news, sports, and entertainment programming.
  • A. CBS chosen
    CBS is a major American broadcast television network known for airing a wide range of popular news, sports, and entertainment programming nationwide.
  • B. CBS
    CBS is a leading graduate business school of Columbia University in New York City, renowned for its MBA and finance programs.
  • C. CBS
    CBS is the national statistical office of the Netherlands responsible for collecting, analyzing, and publishing data on the country’s economy, population, and society.
  • D. CBS
    CBS is the commonly used abbreviation for the Commission for Basic Systems, a specialized body focused on foundational infrastructure and standards, likely within an international or governmental organizational context.
  • E. CBS
    CBS is a Harvard University research center dedicated to advancing the understanding of the brain through interdisciplinary neuroscience studies.
  • F. None of above.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: networkOfAppearance
Context triple: [Vivian Bagley, networkOfAppearance, CBS]
  • A. networkOfWorkAppearedIn
    Indicates that a work is part of, or appears within, a particular network or collection of related works.
  • B. networkOfSeries
    Indicates a relationship where multiple series are interconnected or grouped together as part of the same network or collection.
  • C. networkOfRealityShow
    Indicates that a particular reality show is broadcast or produced by a specific television network.
  • D. primaryLocationOfAppearances
    Indicates the main place where an entity most frequently appears or is featured.
  • E. networkOfProgram
    Indicates a relationship where a program is part of, or connected within, a broader network of related programs or systems.
  • F. None of above. chosen

Provenance (4 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d271e4481909664897cb789fe4a completed April 19, 2026, 8:07 a.m.
PD Predicate disambiguation batch_69e3d8e266888190ae976b4b7d5b886f completed April 18, 2026, 7:17 p.m.
PDg Predicate description generation batch_69e3f022ec448190a9bf191be1c5f570 completed April 18, 2026, 8:57 p.m.
Created at: April 10, 2026, 10:16 a.m.