Triple

T19851511
Position Surface form Disambiguated ID Type / Status
Subject Stranger Music E477004 entity
Predicate title P38 FINISHED
Object Stranger Music 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: Stranger Music | Statement: [Stranger Music, title, Stranger Music]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stranger Music
Context triple: [Stranger Music, title, Stranger Music]
  • A. Stranger Music chosen
    Stranger Music is a collection of Leonard Cohen’s poems and song lyrics that showcases his distinctive blend of spirituality, melancholy, and dark wit.
  • B. Sony Music Nashville
    Sony Music Nashville is a major country music division of Sony Music Entertainment, responsible for signing, producing, and promoting numerous prominent country artists.
  • C. Mercury Nashville
    Mercury Nashville is a prominent American country music record label known for signing and promoting major country artists.
  • D. Strange Music
    Strange Music is an independent American record label best known for releasing hip hop music by artists such as Tech N9ne and other Midwest rappers.
  • E. Warner Music Nashville
    Warner Music Nashville is a country-focused division of Warner Music Group that signs and promotes major country artists in the United States.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65868ccbc8190b879e9763706c1c5 completed April 20, 2026, 4:46 p.m.
Created at: April 10, 2026, 1:51 p.m.