Triple

T21290961
Position Surface form Disambiguated ID Type / Status
Subject Forbes Avenue E524786 entity
Predicate namedAfter P63 FINISHED
Object John Forbes 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 Forbes | Statement: [Forbes Avenue, namedAfter, John Forbes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Forbes
Context triple: [Forbes Avenue, namedAfter, John Forbes]
  • A. John Forbes chosen
    John Forbes was a British Army general of the French and Indian War, best known for leading the 1758 expedition that captured Fort Duquesne and opened the way for British control of the Ohio Valley.
  • B. John Murray Forbes
    John Murray Forbes was a prominent 19th-century American railroad magnate, investor, and abolitionist who played a key role in the development of the U.S. railroad system and supported anti-slavery causes.
  • C. George Forbes
    George Forbes was a New Zealand politician who served as Prime Minister during the early 1930s and led the country through much of the Great Depression.
  • D. James David Forbes
    James David Forbes was a 19th-century Scottish physicist and glaciologist known for his pioneering work on heat conduction and the flow of glaciers.
  • E. Murray Forbes
    Murray Forbes is an author best known for writing the source novel that inspired the film noir "Hollow Triumph" (also known as "The Scar").
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736da28648190ae3f63c6ba1f6d6f completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:04 p.m.