Triple

T19550314
Position Surface form Disambiguated ID Type / Status
Subject All Time Low E489182 entity
Predicate notableWork P4 FINISHED
Object Dirty Work 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: Dirty Work | Statement: [All Time Low, notableWork, Dirty Work]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dirty Work
Context triple: [All Time Low, notableWork, Dirty Work]
  • A. Dirty Work
    "Dirty Work" is a 1986 studio album by the Rolling Stones, known for its hard rock sound, turbulent recording period, and mixed critical reception.
  • B. Dirty Work chosen
    "Dirty Work" is a soft rock song by Steely Dan, known for its smooth melody, soulful vocals, and themes of infidelity and moral compromise.
  • C. Dirty Work
    "Dirty Work" is a 1998 American comedy film starring Norm Macdonald and Artie Lange, directed by Bob Saget.
  • D. Slave to the Grind
    "Slave to the Grind" is a hard-hitting heavy metal song by American band Skid Row, known for its aggressive sound and socially charged lyrics.
  • E. Night Job
    "Night Job" is a popular hip-hop track by American rapper Bas, featuring J. Cole, known for its dark, introspective lyrics and atmospheric production.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63d2feed48190ad49f64980dc885f completed April 20, 2026, 2:50 p.m.
Created at: April 10, 2026, 1:41 p.m.