Triple

T18164932
Position Surface form Disambiguated ID Type / Status
Subject Sunday Pictorial E434867 entity
Predicate successor P78 FINISHED
Object Sunday Mirror 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: Sunday Mirror | Statement: [Sunday Pictorial, successor, Sunday Mirror]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sunday Mirror
Context triple: [Sunday Pictorial, successor, Sunday Mirror]
  • A. Sunday Mirror chosen
    The Sunday Mirror is a British national tabloid Sunday newspaper known for its celebrity news, human-interest stories, and left-leaning political stance.
  • B. Daily Mirror
    The Daily Mirror is a long-running British national tabloid newspaper known for its left-leaning editorial stance and mass-market readership.
  • C. Sunday Mail
    Sunday Mail is a Scottish Sunday tabloid newspaper known for its popular news, sport, and entertainment coverage.
  • D. Scottish Daily Mail
    The Scottish Daily Mail is the Scottish edition of the UK tabloid newspaper the Daily Mail, featuring national news alongside coverage tailored to readers in Scotland.
  • E. The Sunday Telegraph
    The Sunday Telegraph is a British national Sunday newspaper known for its conservative-leaning coverage of news, politics, and culture.
  • 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.