Triple

T7731076
Position Surface form Disambiguated ID Type / Status
Subject Donna Sheridan E175252 entity
Predicate sings P12693 FINISHED
Object Money, Money, Money E244934 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: Money, Money, Money | Statement: [Donna Sheridan, sings, Money, Money, Money]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Money, Money, Money
Context triple: [Donna Sheridan, sings, 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 Is King
    "Money Is King" is a calypso song, most famously recorded by Mighty Sparrow, that satirically critiques the power and influence of money in society.
  • E. The Money Song
    "The Money Song" is a musical number from the 2020 production "Money Money 2020," likely focusing on themes of wealth, consumerism, or financial excess.
  • 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_69c6995e912c81909a49a2657103f786 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70336aafc819099a060950ab8922f completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b52e176481908595fea4ace7a607 completed March 29, 2026, 5:14 a.m.
Created at: March 27, 2026, 4:06 p.m.