Triple

T20652379
Position Surface form Disambiguated ID Type / Status
Subject Beauty and the Beat E507528 entity
Predicate followedBy P78 FINISHED
Object Vacation NE NERFINISHED

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: Vacation | Statement: [Beauty and the Beat, followedBy, Vacation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vacation
Context triple: [Beauty and the Beat, followedBy, Vacation]
  • A. Vacation
    "Vacation" is a 1962 pop song by American singer Connie Francis, best known for its catchy, upbeat celebration of summertime freedom and fun.
  • B. Vacation
    "Vacation" is a dance-pop single by British singer Lauren Bennett, best known for its upbeat, summery vibe and catchy chorus.
  • C. Vacation
    Vacation is an American punk/garage rock band known for its noisy, melodic sound and releases on independent labels like Recess Records.
  • D. Vacation Fun
    Vacation Fun is a Disney animated short featuring Mickey and Minnie Mouse in a lighthearted vacation-themed adventure.
  • E. Vacation (album) chosen
    Vacation is the 1982 pop-rock album by American all-female band The Go-Go’s, featuring the hit title track that became one of their signature songs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af22d6bc8190b9d6877aba5704eb completed April 20, 2026, 10:56 p.m.
Created at: April 16, 2026, 11:43 a.m.