Triple

T18164931
Position Surface form Disambiguated ID Type / Status
Subject Sunday Pictorial E434867 entity
Predicate publisher P29 FINISHED
Object Mirror Group Newspapers NE NERFINISHED

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: [Sunday Pictorial, publisher, Mirror Group Newspapers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mirror Group Newspapers
Context triple: [Sunday Pictorial, publisher, 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. Graham Media Group
    Graham Media Group is an American television broadcasting company that owns and operates local TV stations and digital media properties in several major U.S. markets.
  • E. Gazeta media group
    Gazeta media group is a Russian media company best known for publishing the influential online news outlet Gazeta.ru and related media products.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dec71b7881908d123d0cea3adf1f completed April 19, 2026, 1:55 p.m.
Created at: April 10, 2026, 10:30 a.m.