Triple

T7673931
Position Surface form Disambiguated ID Type / Status
Subject Reach plc E173812 entity
Predicate hasSubsidiary P254 FINISHED
Object MGN Limited
MGN Limited is a British media company best known as the publisher of the Daily Mirror and other national newspapers and magazines.
E681173 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: MGN Limited | Statement: [Reach plc, hasSubsidiary, MGN Limited]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MGN Limited
Context triple: [Reach plc, hasSubsidiary, MGN Limited]
  • A. Assmang Limited
    Assmang Limited is a South African mining company known for producing iron ore, manganese and chrome ores, and related alloys for global markets.
  • B. Mace Group
    Mace Group is a global construction and consultancy company known for delivering major complex projects, including high-profile sports stadiums and landmark buildings.
  • C. Gwynnes Limited
    Gwynnes Limited was a British engineering firm best known for producing aircraft engines and pumps in the early 20th century.
  • D. MLC Limited
    MLC Limited is a major Australian wealth management and insurance company that provides investment, superannuation, and financial advice services.
  • E. MTP Group
    MTP Group is a major Polish trade fair and event organizing company based in Poznań, known for hosting large-scale international exhibitions, conferences, and business events.
  • 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: MGN Limited
Triple: [Reach plc, hasSubsidiary, MGN Limited]
Generated description
MGN Limited is a British media company best known as the publisher of the Daily Mirror and other national newspapers and magazines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MGN Limited
Target entity description: MGN Limited is a British media company best known as the publisher of the Daily Mirror and other national newspapers and magazines.
  • A. Assmang Limited
    Assmang Limited is a South African mining company known for producing iron ore, manganese and chrome ores, and related alloys for global markets.
  • B. Mace Group
    Mace Group is a global construction and consultancy company known for delivering major complex projects, including high-profile sports stadiums and landmark buildings.
  • C. Gwynnes Limited
    Gwynnes Limited was a British engineering firm best known for producing aircraft engines and pumps in the early 20th century.
  • D. MLC Limited
    MLC Limited is a major Australian wealth management and insurance company that provides investment, superannuation, and financial advice services.
  • E. MTP Group
    MTP Group is a major Polish trade fair and event organizing company based in Poznań, known for hosting large-scale international exhibitions, conferences, and business events.
  • 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_69c6995703e0819081de77361b602e78 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701e06e948190b1ef2e754604ac5a completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a234790c8190b1427f99b7f1e5ab completed March 29, 2026, 3:53 a.m.
NEDg Description generation batch_69c8a31b932c8190b8be20c92009210b completed March 29, 2026, 3:57 a.m.
NED2 Entity disambiguation (via description) batch_69c8a3f3b02081909cfb61d34f97fe07 completed March 29, 2026, 4 a.m.
Created at: March 27, 2026, 4 p.m.