Triple

T4133078
Position Surface form Disambiguated ID Type / Status
Subject Commander-in-Chief, India E85084 entity
Predicate officeHolder P537 FINISHED
Object George White E226574 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: George White | Statement: [Commander-in-Chief, India, officeHolder, George White]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George White
Context triple: [Commander-in-Chief, India, officeHolder, George White]
  • A. George White chosen
    George White was a British Army general best known for commanding the garrison during the Siege of Ladysmith in the Second Boer War.
  • B. George White
    George White was a film editor active in mid-20th-century American cinema, known for his work on classic Hollywood productions.
  • C. Joe Williams
    Joe Williams was a renowned American jazz and blues singer best known for his powerful baritone voice and celebrated recordings with the Count Basie Orchestra.
  • D. Bert Williams
    Bert Williams was a pioneering African American vaudeville and Broadway comedian, singer, and actor who became one of the most famous and influential entertainers of the early 20th century.
  • E. Charles McGraw
    Charles McGraw was an American character actor known for his tough-guy roles in film noir and classic Hollywood films, including notable appearances in movies like "The Killers" and "Spartacus."
  • 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_69aed935ccd881909dc61f81bcdb7a78 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02306d608190bf8945d560f87c21 completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576c4c0888190be156d093ea11207 completed March 14, 2026, 2:55 p.m.
Created at: March 9, 2026, 3:43 p.m.