Triple

T12224680
Position Surface form Disambiguated ID Type / Status
Subject Safe Haven (film) soundtrack E291318 entity
Predicate hasArtist P5936 FINISHED
Object Amos Lee E292386 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: Amos Lee | Statement: [Safe Haven (film) soundtrack, hasArtist, Amos Lee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amos Lee
Context triple: [Safe Haven (film) soundtrack, hasArtist, Amos Lee]
  • A. Amos Lee chosen
    Amos Lee is an American singer-songwriter known for his soulful blend of folk, rock, and jazz influences.
  • B. Cam Guthrie
    Cam Guthrie is a Canadian politician best known as the long-serving mayor of the city of Guelph, Ontario.
  • C. Jason Isbell
    Jason Isbell is an American singer-songwriter and guitarist known for his work with the Drive-By Truckers and his acclaimed solo career blending Americana, rock, and country.
  • D. Mason Jennings
    Mason Jennings is an American singer-songwriter known for his introspective folk-rock music and storytelling lyrics.
  • E. Justin Townes Earle
    Justin Townes Earle was an American singer-songwriter known for his blend of Americana, folk, and country music and for being part of a prominent musical family.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca11f788190bad2efb6c83ffccb completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e5c1c988190a80917dfe782a6b6 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:51 p.m.