Triple

T23112287
Position Surface form Disambiguated ID Type / Status
Subject CBS Entertainment Group E576350 entity
Predicate keyAsset P3488 FINISHED
Object CBS Television Network 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: CBS Television Network | Statement: [CBS Entertainment Group, keyAsset, CBS Television Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CBS Television Network
Context triple: [CBS Entertainment Group, keyAsset, CBS Television Network]
  • A. CBS television network chosen
    CBS television network is a major American broadcast television network known for its long-running scripted series, news programs, and wide-reaching national audience.
  • B. CBS
    CBS is a leading Danish university in Copenhagen specializing in business and economics education and research.
  • C. 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.
  • D. CBS
    CBS is a premier undergraduate college of the University of Delhi specializing in business, management, and computer science education.
  • E. CBS
    CBS is a leading graduate business school of Columbia University in New York City, renowned for its MBA and finance programs.
  • 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_69e245f4af548190898d434a64a1e774 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e100d408190a7349563235640d5 completed April 29, 2026, 4:50 a.m.
Created at: April 17, 2026, 3:58 p.m.