Triple

T22094116
Position Surface form Disambiguated ID Type / Status
Subject ABBA: The Movie E545979 entity
Predicate featuresSong P2152 FINISHED
Object Money, 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, Money | Statement: [ABBA: The Movie, featuresSong, Money, Money, Money]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Money, Money, Money
Context triple: [ABBA: The Movie, featuresSong, Money, Money, Money]
  • A. Money, Money, Money chosen
    "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.
  • B. Money Money
    "Money Money" is a classic reggae song by Jamaican singer Horace Andy, known for its socially conscious lyrics about wealth and inequality.
  • C. Money Money
    "Money Money" is a song by the Grateful Dead featured on their 1974 studio album *From the Mars Hotel*.
  • D. Money (song)
    "Money" is a pop song by American singer-songwriter Matt Morris that showcases his soulful vocals and socially conscious lyricism.
  • E. The Money
    "The Money" is a popular Afrobeats song by Nigerian producer and songwriter Kiddominant.
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e766388190aad1039fe0849771 completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.