Triple

T8776602
Position Surface form Disambiguated ID Type / Status
Subject Tears Are Not Enough E208598 entity
Predicate performedBy P1363 FINISHED
Object Murray McLauchlan E611956 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: Murray McLauchlan | Statement: [Tears Are Not Enough, performedBy, Murray McLauchlan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murray McLauchlan
Context triple: [Tears Are Not Enough, performedBy, Murray McLauchlan]
  • A. Murray McLauchlan chosen
    Murray McLauchlan is a Canadian singer-songwriter known for his folk and country-influenced storytelling songs and multiple Juno Award wins.
  • B. Ron Sexsmith
    Ron Sexsmith is a Canadian singer-songwriter known for his melodic, introspective pop songs and critically acclaimed, understated vocal style.
  • C. Dougie MacLean
    Dougie MacLean is a Scottish singer-songwriter and folk musician renowned for his evocative songwriting and influential contributions to contemporary Scottish folk music.
  • D. Mike MacLean
    Mike MacLean is a screenwriter best known for his work on the cult sci-fi horror film "Sharktopus" and other genre projects.
  • 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_69ca835fbee88190bf625939bac48d7f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f5086088190b317cf2aac7bee83 completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51ceee2c81908d521cc4931e25dd completed April 3, 2026, 5:36 a.m.
Created at: March 30, 2026, 6:42 p.m.