Triple

T21834533
Position Surface form Disambiguated ID Type / Status
Subject James Graham Fair E539083 entity
Predicate businessPartner P282 FINISHED
Object John William Mackay 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: John William Mackay | Statement: [James Graham Fair, businessPartner, John William Mackay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John William Mackay
Context triple: [James Graham Fair, businessPartner, John William Mackay]
  • A. John William Mackay chosen
    John William Mackay was a 19th-century Irish-American industrialist and mining magnate who amassed a vast fortune from Nevada’s Comstock Lode and later became a major figure in transatlantic telecommunications.
  • B. John Mackay
    John Mackay is a musician known for his contribution to the album "In Your Mind."
  • C. J.C. MacKenzie
    J.C. MacKenzie is a Canadian actor known for his character roles in film and television, including prominent parts in series like Dark Angel and several Martin Scorsese movies.
  • D. John C. Munro
    John C. Munro was a Canadian politician who served as a longtime Member of Parliament and cabinet minister, notably representing the Hamilton area.
  • E. John MacKay
    John MacKay was an actor known for his role in the 1958 science fiction film "The Lost Missile."
  • 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_69e0c475cda88190987d08f23caebdc1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7a6c9688190aa357377b4697a47 completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.