Triple

T22984348
Position Surface form Disambiguated ID Type / Status
Subject Michael Garron Hospital E571562 entity
Predicate namedAfter P63 FINISHED
Object Michael Garron — 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: Michael Garron | Statement: [Michael Garron Hospital, namedAfter, Michael Garron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michael Garron
Context triple: [Michael Garron Hospital, namedAfter, Michael Garron]
  • A. Michael Garron chosen
    Michael Garron was a young Toronto boy whose memory is honored through the naming of Michael Garron Hospital following a major philanthropic donation by his family.
  • B. John Dawson
    John Dawson was a pioneering American plasma physicist renowned for his foundational contributions to plasma theory and fusion research.
  • C. John Dawson
    John Dawson is a fictional character named John Dawson who appears in the work featuring the character Dawn.
  • D. John Dawson
    John Dawson was an American musician best known as a founding member and primary songwriter of the country rock band New Riders of the Purple Sage.
  • E. John Dawson
    John Dawson was an American lawyer and politician from Virginia who served as a delegate to the Continental Congress and later as a U.S. Congressman and diplomat in the early years of the United States.
  • 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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18298637c819086fca34d55bad22d completed April 29, 2026, 4:01 a.m.
Created at: April 17, 2026, 3:49 p.m.