Triple

T7674969
Position Surface form Disambiguated ID Type / Status
Subject A. J. P. Taylor E173837 entity
Predicate wroteFor P1996 FINISHED
Object The Sunday Express E111407 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: The Sunday Express | Statement: [A. J. P. Taylor, wroteFor, The Sunday Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Sunday Express
Context triple: [A. J. P. Taylor, wroteFor, The Sunday Express]
  • A. Sunday Express chosen
    Sunday Express is a British national Sunday newspaper known for its conservative-leaning coverage of news, politics, and entertainment.
  • B. Daily Express
    The Daily Express is a long-running British national tabloid newspaper known for its conservative stance, sensationalist headlines, and significant influence on UK popular and political discourse.
  • C. L’Express
    L’Express is a major French weekly news magazine known for its political and intellectual commentary.
  • D. Evening Standard
    The Evening Standard is a long-running London-based daily newspaper known for its coverage of city news, politics, business, and culture.
  • E. The Sunday Times
    The Sunday Times is a prominent British Sunday newspaper known for its in-depth journalism, investigative reporting, and influential commentary.
  • 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_69c6995703e0819081de77361b602e78 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701e1e530819086f49f63ba0b7b42 completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b4fa4f9c8190a1cd2c1aa173296d completed March 29, 2026, 5:13 a.m.
Created at: March 27, 2026, 4:01 p.m.