Triple

T17632406
Position Surface form Disambiguated ID Type / Status
Subject Neil Gunn Prize E430009 entity
Predicate namedAfter P63 FINISHED
Object Neil M. Gunn 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: Neil M. Gunn | Statement: [Neil Gunn Prize, namedAfter, Neil M. Gunn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neil M. Gunn
Context triple: [Neil Gunn Prize, namedAfter, Neil M. Gunn]
  • A. Neil M. Gunn chosen
    Neil M. Gunn was a prominent 20th-century Scottish novelist and critic whose works often explored Highland life, national identity, and the impact of social change on rural communities.
  • B. William Matheson
    William Matheson was a 19th-century Scottish distiller best known for establishing the Glenmorangie whisky distillery in the Highlands.
  • C. Walter Connolly
    Walter Connolly was an American character actor of the 1930s known for his comic and often blustery supporting roles in Hollywood films.
  • D. F. H. Varley
    F. H. Varley was a Canadian painter and founding member of the Group of Seven, renowned for his expressive landscapes and portraits.
  • E. William Sharp
    William Sharp was a naval officer known for his command of the vessel Golden Grove.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dc276b48190923f1869ebfe4400 completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 5:52 a.m.