Triple

T14018358
Position Surface form Disambiguated ID Type / Status
Subject The Faye Emerson Show E337257 entity
Predicate originallyAiredOn P6109 FINISHED
Object CBS network E864756 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: CBS network | Statement: [The Faye Emerson Show, originallyAiredOn, CBS network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CBS network
Context triple: [The Faye Emerson Show, originallyAiredOn, CBS 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 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 a Harvard University research center dedicated to advancing the understanding of the brain through interdisciplinary neuroscience studies.
  • E. 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.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2f3b5b088190a58715779d2c46a6 completed April 14, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd27fb2e6c81909e358862e012c49b completed May 8, 2026, 12:02 a.m.
Created at: April 9, 2026, 10:19 p.m.