Triple

T5580264
Position Surface form Disambiguated ID Type / Status
Subject Daydream E146621 entity
Predicate hasPart P35 FINISHED
Object One Sweet Day E531801 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: One Sweet Day | Statement: [Daydream, hasPart, One Sweet Day]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: One Sweet Day
Context triple: [Daydream, hasPart, One Sweet Day]
  • A. One Sweet Day chosen
    "One Sweet Day" is a 1995 duet ballad by Mariah Carey and Boyz II Men that became one of the longest-running number-one singles in Billboard Hot 100 history.
  • B. Beautiful Day
    "Beautiful Day" is a Grammy-winning rock anthem by Irish band U2, known for its uplifting lyrics and soaring, atmospheric sound.
  • C. One Fine Day
    "One Fine Day" is a classic 1963 pop song, first made famous by the Chiffons, that showcases Carole King's signature Brill Building songwriting style and enduring melodic craft.
  • D. Sunny Day
    "Sunny Day" is an R&B song by Brandy featured on her self-titled debut studio album.
  • E. Sunny Day
    Sunny Day is an animated children's television series about a talented young hairstylist and problem-solver who runs a salon in the colorful town of Friendly Falls.
  • 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_69c0090287a08190b4098411effe970c completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0206d62548190b8a3c6efc1825661 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d26856c8190bdda69a049df1c10 completed March 22, 2026, 8:12 p.m.
Created at: March 22, 2026, 3:37 p.m.