Triple

T12382665
Position Surface form Disambiguated ID Type / Status
Subject Timeless E295780 entity
Predicate hasPart P35 FINISHED
Object Na Money E976745 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: Na Money | Statement: [Timeless, hasPart, Na Money]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Na Money
Context triple: [Timeless, hasPart, Na Money]
  • A. Na Money chosen
    "Na Money" is a popular Afrobeat song by Nigerian artist Timeless, known for its catchy rhythm and themes of wealth and enjoyment.
  • B. The Money
    "The Money" is a popular Afrobeats song by Nigerian producer and songwriter Kiddominant.
  • C. 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.
  • D. Penig
    Penig is a small town in the German state of Saxony, known for its historic architecture and location along the Zwickauer Mulde river.
  • E. Money Money
    "Money Money" is a song by the Grateful Dead featured on their 1974 studio album *From the Mars Hotel*.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fbb3a2481908c2fcb5e6488eb3c completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f634760210819080bc0261aa059132 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:54 p.m.