Triple

T2257971
Position Surface form Disambiguated ID Type / Status
Subject Kaleidoscope Dream E49770 entity
Predicate hasPart P35 FINISHED
Object How Many Drinks? E49775 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: How Many Drinks? | Statement: [Kaleidoscope Dream, hasPart, How Many Drinks?]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: How Many Drinks?
Context triple: [Kaleidoscope Dream, hasPart, How Many Drinks?]
  • A. How Many Drinks? chosen
    "How Many Drinks?" is an R&B song by American singer Miguel, known for its smooth vocals and lyrics about seduction and nightlife, released from his 2012 album *Kaleidoscope Dream*.
  • B. Cocktail Time
    "Cocktail Time" is a comic novel by P. G. Wodehouse featuring the mischievous Earl of Ickenham (Uncle Fred) as he orchestrates romantic entanglements and social chaos in his characteristic lighthearted style.
  • C. Brad's Drink
    Brad's Drink was the original name of the soft drink that later became known worldwide as Pepsi.
  • D. Hold My Liquor
    "Hold My Liquor" is a moody, atmospheric hip-hop track by Kanye West featuring introspective lyrics and experimental production.
  • E. Beers
    Beers is a small village in the Dutch province of North Brabant, known for its rural character and location within the municipality of Land van Cuijk.
  • 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc15839fc8190b17e040c4c765a8c completed March 7, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71c69f088190a38254a8a3670124 completed March 9, 2026, 7:07 a.m.
Created at: March 4, 2026, 7:48 p.m.