Triple

T5265920
Position Surface form Disambiguated ID Type / Status
Subject Nigel Lawson E118937 entity
Predicate employer P7 FINISHED
Object The Sunday Telegraph E69793 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 Telegraph | Statement: [Nigel Lawson, employer, The Sunday Telegraph]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Sunday Telegraph
Context triple: [Nigel Lawson, employer, The Sunday Telegraph]
  • A. The Sunday Times
    The Sunday Times is a prominent British Sunday newspaper known for its in-depth journalism, investigative reporting, and influential commentary.
  • B. The Daily Telegraph chosen
    The Daily Telegraph is a major British daily broadsheet newspaper known for its conservative-leaning political stance and wide national circulation.
  • C. Evening Standard
    The Evening Standard is a long-running London-based daily newspaper known for its coverage of city news, politics, business, and culture.
  • D. Sunday Express
    Sunday Express is a British national Sunday newspaper known for its conservative-leaning coverage of news, politics, and entertainment.
  • E. The Times
    The Times is a long-established and influential British daily newspaper known for its national and international news coverage, commentary, and analysis.
  • 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bf89ae481908835b711fb2696fd completed March 20, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe8e5c948190a807a99bd35f710d completed March 21, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:51 p.m.