Triple

T20358030
Position Surface form Disambiguated ID Type / Status
Subject Marie Colvin E496701 entity
Predicate employer P7 FINISHED
Object The Sunday Times 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: The Sunday Times | Statement: [Marie Colvin, employer, The Sunday Times]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Sunday Times
Context triple: [Marie Colvin, employer, 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 (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_69e0b4a3f7f48190b37f354574028ca6 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67855c3a88190b88839a47d01184d completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:25 a.m.