Triple

T22802695
Position Surface form Disambiguated ID Type / Status
Subject Do Re Mi E564441 entity
Predicate notableSong P4 FINISHED
Object Make Someone Happy 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: Make Someone Happy | Statement: [Do Re Mi, notableSong, Make Someone Happy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Make Someone Happy
Context triple: [Do Re Mi, notableSong, Make Someone Happy]
  • A. Make Someone Happy chosen
    "Make Someone Happy" is a jazz album by Russian-Canadian vocalist Sophie Milman, showcasing her interpretations of classic standards.
  • B. Whatever Makes You Happy
    "Whatever Makes You Happy" is a novel by William Sutcliffe that follows three over-involved mothers who secretly track down their adult sons in New York, blending humor and insight about family, independence, and modern parent-child relationships.
  • C. So Happy
    "So Happy" is a rock song by Canadian band Theory of a Deadman, known for its dark, hard-edged sound and themes of toxic relationships.
  • D. Born to Make You Happy
    "Born to Make You Happy" is a pop ballad by Britney Spears that became one of her early international hits, particularly in Europe.
  • E. Be Happy
    "Be Happy" is a song featured on the album *My Life*, likely contributing an uplifting or optimistic theme to the record.
  • 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_69e245823f4c8190ade442cdcc2c224a completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cdf1e308190a05d0f61856be544 completed April 29, 2026, 3:37 a.m.
Created at: April 17, 2026, 3:31 p.m.