Triple

T10392586
Position Surface form Disambiguated ID Type / Status
Subject Arrival E244927 entity
Predicate includesTrack P3284 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: [Arrival, includesTrack, Money, Money, Money]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Money, Money, Money
Context triple: [Arrival, includesTrack, 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. It’s Only Money
    "It’s Only Money" is a 1962 American comedy film starring Jerry Lewis as a TV repairman who becomes entangled in a wealthy family's inheritance scheme.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9b6c750819087678bf81a3ef806 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d795c0253c8190b6141ccb90fd1b7e completed April 9, 2026, 12:04 p.m.
Created at: April 6, 2026, 12:06 p.m.