Triple

T1485570
Position Surface form Disambiguated ID Type / Status
Subject William Howard Russell E29455 entity
Predicate employer P7 FINISHED
Object The Times E65840 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 Times | Statement: [William Howard Russell, employer, The Times]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Times
Context triple: [William Howard Russell, employer, The Times]
  • A. The Times chosen
    The Times is a long-established and influential British daily newspaper known for its national and international news coverage, commentary, and analysis.
  • B. The Daily Telegraph
    The Daily Telegraph is a major British daily broadsheet newspaper known for its conservative-leaning political stance and wide national circulation.
  • C. The Sunday Times
    The Sunday Times is a prominent British Sunday newspaper known for its in-depth journalism, investigative reporting, and influential 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 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_69a498da82e08190ba833330d05f380f completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6a1d8448190b3c90bb82fd806fe completed March 1, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad15b5aa348190bf6d7a3177eacaff completed March 8, 2026, 6:22 a.m.
Created at: March 1, 2026, 8:12 p.m.