Triple

T19709459
Position Surface form Disambiguated ID Type / Status
Subject Daily Record E473301 entity
Predicate hasEdition P35 FINISHED
Object Sunday Mail 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 Mail | Statement: [Daily Record, hasEdition, Sunday Mail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sunday Mail
Context triple: [Daily Record, hasEdition, Sunday Mail]
  • A. Sunday Mail chosen
    Sunday Mail is a Scottish Sunday tabloid newspaper known for its popular news, sport, and entertainment coverage.
  • B. Mail on Sunday
    The Mail on Sunday is a British weekly newspaper known as the Sunday edition of the Daily Mail, featuring news, politics, and tabloid-style coverage.
  • C. The Sunday Telegraph
    The Sunday Telegraph is a British national Sunday newspaper known for its conservative-leaning coverage of news, politics, and culture.
  • D. Sunday Mirror
    The Sunday Mirror is a British national tabloid Sunday newspaper known for its celebrity news, human-interest stories, and left-leaning political stance.
  • E. Sunday Express
    Sunday Express is a British national Sunday newspaper known for its conservative-leaning coverage of news, politics, and entertainment.
  • 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e64406f9808190acd74aa03c392eb0 completed April 20, 2026, 3:19 p.m.
Created at: April 10, 2026, 1:46 p.m.