Triple

T20782150
Position Surface form Disambiguated ID Type / Status
Subject Jim Lauderdale E511510 entity
Predicate notableWork P4 FINISHED
Object Black Roses 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: Black Roses | Statement: [Jim Lauderdale, notableWork, Black Roses]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black Roses
Context triple: [Jim Lauderdale, notableWork, Black Roses]
  • A. Black Roses chosen
    Black Roses is a song featured on the soundtrack of the 1993 crime-romance film "True Romance."
  • B. Black Roses
    "Black Roses" is a studio album by Finnish rock band The Rasmus, known for its dark, melodic sound blending alternative rock and gothic influences.
  • C. Cold Roses
    Cold Roses is a 2005 double album by American singer-songwriter Ryan Adams, recorded with his backing band The Cardinals and noted for its roots-rock and alt-country sound.
  • D. Blood Red Roses
    "Blood Red Roses" is a song by the English rock band The Zombies, featured on their early recordings and compilations.
  • E. Steel Roses
    Steel Roses is the popular nickname of the China women's national football team, celebrated for its resilience and strong performances in international competitions.
  • 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_69e0b4cac7a48190a715cb3d545df2b4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c28870e481909e7cbcdd6d4bc247 completed April 21, 2026, 12:19 a.m.
Created at: April 16, 2026, 12:38 p.m.