Triple

T17678924
Position Surface form Disambiguated ID Type / Status
Subject Dirty Money E440715 entity
Predicate notableWork P4 FINISHED
Object Hello Good Morning — 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: Hello Good Morning | Statement: [Dirty Money, notableWork, Hello Good Morning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hello Good Morning
Context triple: [Dirty Money, notableWork, Hello Good Morning]
  • A. Hello Good Morning chosen
    "Hello Good Morning" is a song by Diddy – Dirty Money from the album *Last Train to Paris*, known for its dance-pop and electro-influenced production.
  • B. Good Morning Good Morning
    "Good Morning Good Morning" is a 1967 Beatles song written primarily by John Lennon, notable for its brassy arrangement, shifting time signatures, and use of animal sound effects.
  • C. Good Morning
    "Good Morning" is a song by Norah Jones from her 2012 studio album *Little Broken Hearts*, blending mellow vocals with atmospheric, indie-pop production.
  • D. Good Morning
    "Good Morning" is a classic show tune best known from the 1939 musical film *Babes in Arms* and later popularized in *Singin' in the Rain*.
  • E. Good Morning
    "Good Morning" is a vibrant abstract painting by British artist Howard Hodgkin, known for its expressive brushwork and intense, layered color.
  • 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f6f8054819087b2fe9bc8ad8d2f completed April 19, 2026, 6 a.m.
Created at: April 10, 2026, 10:01 a.m.