Triple

T10350870
Position Surface form Disambiguated ID Type / Status
Subject Jameson Hall E243876 entity
Predicate namedAfter P63 FINISHED
Object Leander Starr Jameson E268351 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: Leander Starr Jameson | Statement: [Jameson Hall, namedAfter, Leander Starr Jameson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leander Starr Jameson
Context triple: [Jameson Hall, namedAfter, Leander Starr Jameson]
  • A. Leander Starr Jameson chosen
    Leander Starr Jameson was a British colonial statesman and adventurer best known for leading the failed Jameson Raid against the South African Republic in 1895–1896.
  • B. James Lumsden
    James Lumsden was a Scottish stationer and civic figure from Glasgow, known for his successful family business and service as Lord Provost in the 19th century.
  • C. John Nicholson
    John Nicholson was a British Army officer in colonial India renowned for his fierce leadership and pivotal role in suppressing the Indian Rebellion of 1857.
  • D. Sir John Evans
    Sir John Evans was a prominent 19th-century British archaeologist and numismatist known for his influential work on ancient coins and prehistoric artifacts.
  • E. George M. Arthur
    George M. Arthur was a film editor best known for his work on classic Hollywood productions such as "Gentlemen Prefer Blondes."
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e94796d881909e0b908de63a1aa3 completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d75095625c819082d4d0976a193e6c completed April 9, 2026, 7:09 a.m.
Created at: April 6, 2026, 11:57 a.m.