Triple

T14540015
Position Surface form Disambiguated ID Type / Status
Subject Bye Bye Birdie E341142 entity
Predicate featuresSong P2152 FINISHED
Object Put On a Happy Face E687609 NE FINISHED

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: Put On a Happy Face | Statement: [Bye Bye Birdie, featuresSong, Put On a Happy Face]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Put On a Happy Face
Context triple: [Bye Bye Birdie, featuresSong, Put On a Happy Face]
  • A. Put On a Happy Face chosen
    "Put On a Happy Face" is a popular show tune from the 1960 Broadway musical Bye Bye Birdie, known for its upbeat melody and optimistic lyrics.
  • B. Put On a Smile
    "Put On a Smile" is a soulful, retro-inspired R&B ballad by Silk Sonic, the duo of Bruno Mars and Anderson .Paak, featured on their collaborative album *An Evening with Silk Sonic*.
  • C. Be Happy
    "Be Happy" is a song featured on the album *My Life*, likely contributing an uplifting or optimistic theme to the record.
  • D. 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.
  • E. Smilin' Through
    Smilin' Through is a romantic drama film, best known in its 1932 MGM adaptation, about enduring love and loss across generations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb1bd0dd4819094c8b2f2aa6b1c5e completed April 14, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a5cca788190aa8762d860c78721 completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:22 a.m.