Triple

T20196438
Position Surface form Disambiguated ID Type / Status
Subject Skene! Records E493096 entity
Predicate hasNotableArtistEarlyWork P136890 FINISHED
Object Sweet Children 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: Sweet Children | Statement: [Skene! Records, hasNotableArtistEarlyWork, Sweet Children]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sweet Children
Context triple: [Skene! Records, hasNotableArtistEarlyWork, Sweet Children]
  • A. Sweet Children chosen
    Sweet Children was the original name of the American punk rock band Green Day during their early years in the late 1980s.
  • B. Suffer the Little Children
    "Suffer the Little Children" is a song by the Irish rock band U2, featured on their 1980 debut album *Boy* and known for its intense, socially conscious themes.
  • C. Suffer the Little Children
    "Suffer the Little Children" is a song by Canadian singer-songwriter Buffy Sainte-Marie, featured on her 1971 album *She Used to Wanna Be a Ballerina*.
  • D. Goodbye to Childhood
    "Goodbye to Childhood" is a song from the 1963 jazz album *Speak Like a Child* by trumpeter and composer Freddie Hubbard.
  • E. Everyone’s Child
    Everyone’s Child is a Zimbabwean drama film that portrays the struggles of orphaned siblings amid poverty and social upheaval.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ad99d50819090ddb7b546c65321 completed April 20, 2026, 6:05 p.m.
Created at: April 11, 2026, 11:37 p.m.