Triple

T16678542
Position Surface form Disambiguated ID Type / Status
Subject Luvanmusiq E405276 entity
Predicate hasTrack P3284 FINISHED
Object Millionaire E186272 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: Millionaire | Statement: [Luvanmusiq, hasTrack, Millionaire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Millionaire
Context triple: [Luvanmusiq, hasTrack, Millionaire]
  • A. Millionaire chosen
    "Millionaire" is a 2004 R&B/hip-hop single by American singer Kelis featuring André 3000, known for its laid-back groove and distinctive production.
  • B. Millionaire
    "Millionaire" is a song by the English rock band Beady Eye, formed by former members of Oasis.
  • C. Millionaires
    Millionaires was the nickname of the early 20th-century professional ice hockey team officially known as the Vancouver Millionaires.
  • D. The Millionaire
    The Millionaire is a 1931 American pre-Code comedy film starring George Arliss as a retired businessman who secretly returns to work, produced by Warner Bros. and associated with filmmaker Bryan Foy.
  • E. Billionaire
    "Billionaire" is a pop-rap song by Travie McCoy featuring Bruno Mars that humorously expresses the desire for immense wealth and the extravagant lifestyle that comes with it.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d6db3488190b56e13ddb69ef8f1 completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a3e2ddc8190a59108cdf001dac2 completed May 10, 2026, 1:38 p.m.
Created at: April 10, 2026, 5:19 a.m.