Triple

T14400448
Position Surface form Disambiguated ID Type / Status
Subject Louis Canning E357054 entity
Predicate hasName P744 FINISHED
Object Louis Canning E357054 NE FINISHED

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: Louis Canning | Statement: [Louis Canning, hasName, Louis Canning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louis Canning
Context triple: [Louis Canning, hasName, Louis Canning]
  • A. Louis Canning chosen
    Louis Canning is a cunning, manipulative lawyer character on the television series "The Good Wife," portrayed by Michael J. Fox.
  • B. Alfred Cannan
    Alfred Cannan is a Manx politician who has served as Chief Minister of the Isle of Man.
  • C. John French
    John French was a British Army officer who served as the first Commander-in-Chief of the British Expeditionary Force during the early years of World War I.
  • D. Herbert Rudley
    Herbert Rudley was an American character actor known for his extensive work in film, television, and theater from the 1940s through the 1970s.
  • E. Andrew Cunningham
    Andrew Cunningham was a prominent British Royal Navy admiral of World War II, noted for his leadership in major Mediterranean campaigns and his role in Allied amphibious operations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de908500048190bb6a20fe318d5c62 completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551eb09c8190a102ab452371e5b1 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:17 a.m.