Triple

T22658619
Position Surface form Disambiguated ID Type / Status
Subject From the Mars Hotel E559298 entity
Predicate hasTrack P3284 FINISHED
Object Money Money 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: Money Money | Statement: [From the Mars Hotel, hasTrack, Money Money]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Money Money
Context triple: [From the Mars Hotel, hasTrack, Money Money]
  • A. Money Money
    "Money Money" is a classic reggae song by Jamaican singer Horace Andy, known for its socially conscious lyrics about wealth and inequality.
  • B. Money Money chosen
    "Money Money" is a song by the Grateful Dead featured on their 1974 studio album *From the Mars Hotel*.
  • C. Money, Money, Money
    "Money, Money, Money" is a 1976 pop song by Swedish group ABBA, known for its theatrical style and lyrics about dreaming of wealth to escape financial hardship.
  • D. Money (song)
    "Money" is a pop song by American singer-songwriter Matt Morris that showcases his soulful vocals and socially conscious lyricism.
  • E. Money (Money)
    "Money (Money)" is a musical number from the stage and film versions of Cabaret, performed in the Kit Kat Klub as a satirical commentary on greed and the corrupting power of wealth.
  • 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1765d10588190b4574f3e64617cd4 completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 3:07 p.m.