Triple

T20142732
Position Surface form Disambiguated ID Type / Status
Subject ¡Uno! E491214 entity
Predicate single P3283 FINISHED
Object Let Yourself Go — 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: Let Yourself Go | Statement: [¡Uno!, single, Let Yourself Go]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Let Yourself Go
Context triple: [¡Uno!, single, Let Yourself Go]
  • A. Let Yourself Go chosen
    "Let Yourself Go" is a punk rock song by Green Day from their 2012 album ¡Uno!.
  • B. Let Yourself Go
    "Let Yourself Go" is a studio album by Broadway and television star Kristin Chenoweth, featuring her interpretations of classic songs in a retro, big-band and vocal jazz style.
  • C. Let Yourself Go
    "Let Yourself Go" is a popular 1936 Irving Berlin song introduced by Ginger Rogers in the Fred Astaire musical film *Follow the Fleet*.
  • D. Let Yourself Go
    "Let Yourself Go" is a song featured on Paul McCartney and Wings' 1975 album *Man on the Run* (note: likely referring to *Band on the Run*).
  • E. To Let Myself Go
    "To Let Myself Go" is a melancholic, folk-influenced song by Norwegian singer-songwriter Ane Brun that reflects on vulnerability and emotional release.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6679bcf2c8190ac6e969178d8acde completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:33 p.m.