Triple

T23524562
Position Surface form Disambiguated ID Type / Status
Subject Lanny McDonald E574597 entity
Predicate fullName P16 FINISHED
Object Lanny King McDonald 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: Lanny King McDonald | Statement: [Lanny McDonald, fullName, Lanny King McDonald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lanny King McDonald
Context triple: [Lanny McDonald, fullName, Lanny King McDonald]
  • A. Lanny McDonald chosen
    Lanny McDonald is a Hall of Fame Canadian right winger best known for his iconic moustache, leadership, and role in helping the Calgary Flames win the 1989 Stanley Cup.
  • B. Kenneth Macgowan
    Kenneth Macgowan was an American film and theater producer and critic known for his influential work in early 20th-century cinema and stage production.
  • C. William McDonald
    William McDonald is a name shared by multiple notable individuals across fields such as politics, academia, and the arts.
  • D. Earle Kingston
    Earle Kingston is the husband of acclaimed Chinese American author Maxine Hong Kingston.
  • E. Reynold Brown
    Reynold Brown was an American illustrator best known for his dramatic and dynamic movie poster art for numerous mid-20th-century Hollywood films, especially in the science fiction and horror genres.
  • 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_69e245bb3dcc8190ba9a2b35972b58d0 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1ac72bfb88190b7da3837e66e851c completed April 29, 2026, 7 a.m.
Created at: April 17, 2026, 6:09 p.m.