Triple

T4506093
Position Surface form Disambiguated ID Type / Status
Subject Toonami E101334 entity
Predicate broadcastOn P833 FINISHED
Object CNX
CNX was a short-lived UK digital television channel from Cartoon Network that targeted older teens and young adults with action-oriented and anime programming.
 E447814 NE FINISHED

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: CNX | Statement: [Toonami, broadcastOn, CNX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CNX
Context triple: [Toonami, broadcastOn, CNX]
  • A. CNK
    CNK is the stock ticker symbol for Cinemark Holdings, Inc., a major American movie theater chain operator.
  • B. CNCS
    CNCS is the abbreviation for the Corporation for National and Community Service, the U.S. federal agency that supports national service programs like AmeriCorps and Senior Corps.
  • C. CNR
    CNR is the stock ticker symbol for Canadian National Railway, a major North American freight railway company.
  • D. CJN
    CJN is the commonly used abbreviation for the Chief Justice of Nigeria, the head of the Nigerian judiciary and Supreme Court.
  • E. CNP
    CNP is the abbreviation for the U.S. Navy’s Chief of Naval Personnel, the senior officer responsible for managing the service’s manpower, personnel policies, and career development.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CNX
Triple: [Toonami, broadcastOn, CNX]
Generated description
CNX was a short-lived UK digital television channel from Cartoon Network that targeted older teens and young adults with action-oriented and anime programming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CNX
Target entity description: CNX was a short-lived UK digital television channel from Cartoon Network that targeted older teens and young adults with action-oriented and anime programming.
  • A. CNK
    CNK is the stock ticker symbol for Cinemark Holdings, Inc., a major American movie theater chain operator.
  • B. CNCS
    CNCS is the abbreviation for the Corporation for National and Community Service, the U.S. federal agency that supports national service programs like AmeriCorps and Senior Corps.
  • C. CNR
    CNR is the stock ticker symbol for Canadian National Railway, a major North American freight railway company.
  • D. CJN
    CJN is the commonly used abbreviation for the Chief Justice of Nigeria, the head of the Nigerian judiciary and Supreme Court.
  • E. CNP
    CNP is the abbreviation for the U.S. Navy’s Chief of Naval Personnel, the senior officer responsible for managing the service’s manpower, personnel policies, and career development.
  • F. None of above. chosen

Provenance (5 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_69bd43d175248190894dc58b5b395c26 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56ff78748190bb667e70c69dc817 completed March 20, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd6f9d05d08190bde36e7d614a0e2e completed March 20, 2026, 4:02 p.m.
NEDg Description generation batch_69bd705e0e848190a73e7ddb569f0e37 completed March 20, 2026, 4:05 p.m.
NED2 Entity disambiguation (via description) batch_69bd71b41664819091bd4f75d4634943 completed March 20, 2026, 4:11 p.m.
Created at: March 20, 2026, 1:01 p.m.