Triple

T8078715
Position Surface form Disambiguated ID Type / Status
Subject China Media Group E188560 entity
Predicate shortName P43 FINISHED
Object CMG
CMG is China’s state-owned national media conglomerate that oversees major television, radio, and online broadcasting services.
E710414 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: CMG | Statement: [China Media Group, shortName, CMG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CMG
Context triple: [China Media Group, shortName, CMG]
  • A. CMG
    CMG is a post-nominal honorific indicating appointment as a Companion of the Order of St Michael and St George, a British order of chivalry typically awarded for distinguished service in foreign affairs or overseas.
  • B. CMG
    CMG is the vehicle registration code assigned to the town of Mogilno in Poland.
  • C. CMG
    CMG is the stock ticker symbol for Chipotle Mexican Grill, a major American fast-casual restaurant chain known for its burritos and tacos.
  • D. SMG
    SMG is a private company specializing in the management and operation of public assembly facilities such as stadiums, arenas, and convention centers.
  • E. SMG
    SMG is the abbreviation for the Science Museum Group, a UK-based organization that manages several major science and technology museums.
  • 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: CMG
Triple: [China Media Group, shortName, CMG]
Generated description
CMG is China’s state-owned national media conglomerate that oversees major television, radio, and online broadcasting services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CMG
Target entity description: CMG is China’s state-owned national media conglomerate that oversees major television, radio, and online broadcasting services.
  • A. CMG
    CMG is a post-nominal honorific indicating appointment as a Companion of the Order of St Michael and St George, a British order of chivalry typically awarded for distinguished service in foreign affairs or overseas.
  • B. CMG
    CMG is the vehicle registration code assigned to the town of Mogilno in Poland.
  • C. CMG
    CMG is the stock ticker symbol for Chipotle Mexican Grill, a major American fast-casual restaurant chain known for its burritos and tacos.
  • D. SMG
    SMG is a private company specializing in the management and operation of public assembly facilities such as stadiums, arenas, and convention centers.
  • E. SMG
    SMG is the abbreviation for the Science Museum Group, a UK-based organization that manages several major science and technology museums.
  • 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_69ca82b50c708190863f661d438e68df completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb40a2b64c8190ae2b3414b4f840e4 completed March 31, 2026, 3:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63f3f6848190a719b8a9605218ee completed April 1, 2026, 12:16 a.m.
NEDg Description generation batch_69cc651d340c819089306bac7110f57a completed April 1, 2026, 12:21 a.m.
NED2 Entity disambiguation (via description) batch_69cc666ecc04819092ee4cc035dde627 completed April 1, 2026, 12:27 a.m.
Created at: March 30, 2026, 5:28 p.m.