Triple

T14327447
Position Surface form Disambiguated ID Type / Status
Subject Ane Brun E355249 entity
Predicate hasCollaboratedWith P8554 FINISHED
Object Ron Sexsmith E537225 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: Ron Sexsmith | Statement: [Ane Brun, hasCollaboratedWith, Ron Sexsmith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ron Sexsmith
Context triple: [Ane Brun, hasCollaboratedWith, Ron Sexsmith]
  • A. Ron Sexsmith chosen
    Ron Sexsmith is a Canadian singer-songwriter known for his melodic, introspective pop songs and critically acclaimed, understated vocal style.
  • B. Andrew Sharp
    Andrew Sharp is a British business executive and former CEO of the travel company Eurostar.
  • C. Murray McLauchlan
    Murray McLauchlan is a Canadian singer-songwriter known for his folk and country-influenced storytelling songs and multiple Juno Award wins.
  • D. John Butler
    John Butler was a prominent Loyalist military leader during the American Revolutionary War, best known for commanding Butler's Rangers in frontier campaigns against American revolutionaries.
  • E. Paul Kelly
    Paul Kelly was an American stage and film actor active in the early to mid-20th century, known for his character roles in numerous Hollywood productions.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8c1c3e70819084b6728ac5c18561 completed April 14, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd46927af48190b91095d852fcacbe completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:13 a.m.