Triple

T8190069
Position Surface form Disambiguated ID Type / Status
Subject Scarlett Curtis E191279 entity
Predicate hasWrittenFor P11775 FINISHED
Object The Sunday Times E18674 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 Times | Statement: [Scarlett Curtis, hasWrittenFor, The Sunday Times]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Sunday Times
Context triple: [Scarlett Curtis, hasWrittenFor, The Sunday Times]
  • A. The Sunday Times chosen
    The Sunday Times is a prominent British Sunday newspaper known for its in-depth journalism, investigative reporting, and influential commentary.
  • B. The Sunday Telegraph
    The Sunday Telegraph is a British national Sunday newspaper known for its conservative-leaning coverage of news, politics, and culture.
  • C. The Daily Telegraph
    The Daily Telegraph is a major British daily broadsheet newspaper known for its conservative-leaning political stance and wide national circulation.
  • D. The Times
    The Times is a long-established and influential British daily newspaper known for its national and international news coverage, commentary, and analysis.
  • E. Evening Standard
    The Evening Standard is a long-running London-based daily newspaper known for its coverage of city news, politics, business, and culture.
  • 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_69ca82c5b6948190a583c096fb0a6c71 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4da2f4108190b9b69cb7f41ef374 completed March 31, 2026, 4:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3495a2808190844cbd8e22458ebc completed April 1, 2026, 3:07 p.m.
Created at: March 30, 2026, 5:41 p.m.