Triple

T10370185
Position Surface form Disambiguated ID Type / Status
Subject Cecil King E244360 entity
Predicate employer P7 FINISHED
Object Mirror Group Newspapers E434868 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: Mirror Group Newspapers | Statement: [Cecil King, employer, Mirror Group Newspapers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mirror Group Newspapers
Context triple: [Cecil King, employer, Mirror Group Newspapers]
  • A. Mirror Group Newspapers chosen
    Mirror Group Newspapers is a major British newspaper publishing company best known for producing the Daily Mirror and its associated titles.
  • B. News Group Newspapers
    News Group Newspapers is a British newspaper publishing company best known for producing tabloid titles such as The Sun.
  • C. Guardian Media Group
    Guardian Media Group is a British media company that owns and operates The Guardian and related news and media assets.
  • D. The Times Group
    The Times Group is one of India’s largest media conglomerates, best known for publishing The Times of India and operating a wide range of print, digital, television, and event properties.
  • E. Associated Newspapers
    Associated Newspapers is a major British newspaper publisher best known for titles such as the Daily Mail and The Mail on Sunday.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9737cfc81909d6302bd4177d186 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7955bb0ec8190b4d1da4af981436a completed April 9, 2026, 12:02 p.m.
Created at: April 6, 2026, 12:01 p.m.