Triple

T7853196
Position Surface form Disambiguated ID Type / Status
Subject Raymond Massey E182105 entity
Predicate sibling P363 FINISHED
Object Vincent Massey E167127 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: Vincent Massey | Statement: [Raymond Massey, sibling, Vincent Massey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vincent Massey
Context triple: [Raymond Massey, sibling, Vincent Massey]
  • A. Vincent Massey chosen
    Vincent Massey was a Canadian lawyer, diplomat, and statesman who became the first Canadian-born Governor General of Canada.
  • B. George Esson
    George Esson is a Scottish former senior police officer known for his prominent roles in major criminal investigations and public safety operations in the UK.
  • C. C. W. Orr
    C. W. Orr was an English composer best known for his art songs, particularly his settings of A. E. Housman's poetry.
  • D. Wilfred Urquhart
    Wilfred Urquhart is a person notable for bearing the surname Urquhart, though specific widely known biographical details about him are not well documented.
  • E. Sir William Macdonald
    Sir William Macdonald was a prominent Canadian tobacco manufacturer and philanthropist whose generous endowments significantly shaped McGill University and its agricultural education programs.
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18ed56d481909266d862e0ae152d completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b1e9e808190a0eb2dea5288e743 completed March 31, 2026, 5:26 a.m.
Created at: March 30, 2026, 4:51 p.m.