Triple

T151765
Position Surface form Disambiguated ID Type / Status
Subject Lord Beaverbrook E3445 entity
Predicate employer P7 FINISHED
Object Sunday Express E18864 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: Sunday Express | Statement: [Lord Beaverbrook, employer, Sunday Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sunday Express
Context triple: [Lord Beaverbrook, employer, Sunday Express]
  • A. Daily Express chosen
    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.
  • B. The Sunday Times
    The Sunday Times is a prominent British Sunday newspaper known for its in-depth journalism, investigative reporting, and influential commentary.
  • C. London Gazette
    The London Gazette is an official journal of record of the British government, publishing legal notices, honours, and state announcements.
  • D. El Espectador
    El Espectador is one of Colombia’s oldest and most influential national newspapers, known for its investigative journalism and cultural reporting.
  • E. The New York Times
    The New York Times is a leading American newspaper renowned for its influential journalism, extensive global coverage, and role as a newspaper of record.
  • 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_69a252868de4819080e21c9938bfe8b6 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a2580f55a88190b37b54ee0ed5ac7c completed Feb. 28, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2d0c4cae881909e954f12d5bb9672 completed Feb. 28, 2026, 11:25 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.