Triple

T14114984
Position Surface form Disambiguated ID Type / Status
Subject You (Ha Ha Ha) E339744 entity
Predicate sampling P23843 FINISHED
Object Gold Panda - You E339742 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: Gold Panda - You | Statement: [You (Ha Ha Ha), sampling, Gold Panda - You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gold Panda - You
Context triple: [You (Ha Ha Ha), sampling, Gold Panda - You]
  • A. Gold Panda chosen
    Gold Panda is a British electronic music producer and composer known for his intricate, sample-based tracks and critically acclaimed debut album "Lucky Shiner."
  • B. The Na-Na Song
    "The Na-Na Song" is a track by Sheryl Crow from her debut album "Tuesday Night Music Club," known for its playful, irreverent lyrics and catchy pop-rock style.
  • C. You Song
    "You Song" is a track by the Australian rock band Surf, likely featuring their characteristic energetic, guitar-driven sound.
  • D. Suga Bang Bang
    Suga Bang Bang is a rapper known for his collaborations with members of the Wu-Tang Clan and appearances on various underground hip-hop projects.
  • E. You (Ha Ha Ha)
    "You (Ha Ha Ha)" is a song by British singer Charli XCX, known for its catchy synth-pop sound and sharp, confrontational lyrics.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6010a03c81909f5f160f8d1fa8fa completed April 14, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0b881388190a5bcdd87fd10c516 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:22 p.m.