Triple

T18498364
Position Surface form Disambiguated ID Type / Status
Subject Al Purdy E452004 entity
Predicate name P16 FINISHED
Object Al Purdy 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: Al Purdy | Statement: [Al Purdy, name, Al Purdy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Purdy
Context triple: [Al Purdy, name, Al Purdy]
  • A. Al Purdy chosen
    Al Purdy was a prominent Canadian poet celebrated for his colloquial style and vivid portrayals of Canadian landscapes and identity.
  • B. Rudy Wiebe
    Rudy Wiebe is a prominent Canadian novelist and short story writer known for his explorations of Mennonite life, Indigenous histories, and the Canadian West.
  • C. Earle Birney
    Earle Birney was a prominent Canadian poet and novelist whose innovative verse and influential teaching helped shape modern Canadian literature.
  • D. Murray Kinnell
    Murray Kinnell was an English-born character actor active in early 20th-century American cinema, known for his supporting roles in numerous Hollywood films of the 1930s and 1940s.
  • E. Augustus Alexis Arquette
    Augustus Alexis Arquette is a member of the Arquette acting family and the child of American actor and filmmaker David Arquette.
  • 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e532c275388190aafe891d0202f82e completed April 19, 2026, 7:53 p.m.
Created at: April 10, 2026, 11:36 a.m.