Triple

T14045743
Position Surface form Disambiguated ID Type / Status
Subject High as Hope E337950 entity
Predicate followedBy P78 FINISHED
Object Dance Fever E337951 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: Dance Fever | Statement: [High as Hope, followedBy, Dance Fever]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dance Fever
Context triple: [High as Hope, followedBy, Dance Fever]
  • A. Dance Fever chosen
    Dance Fever is a 2022 indie rock and baroque pop album by Florence and the Machine that explores themes of catharsis, mythology, and the return to physicality after isolation.
  • B. Born to Dance
    Born to Dance is a 1936 MGM musical film featuring songs by Cole Porter and starring Eleanor Powell and James Stewart.
  • C. Got to Dance
    Got to Dance is a televised dance competition show in which performers of various styles audition and compete before judges and a public vote.
  • D. We Came to Dance
    "We Came to Dance" is a song by the British new wave band Ultravox, featured on their 1982 album Quartet and released as a single.
  • E. Love N' Dancing
    Love N' Dancing is a romantic drama film centered on West Coast Swing dancing, directed by Robert Iscove.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de312df37081909f45ce3e219af5dc completed April 14, 2026, 12:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdefaabd0819098870522a6ce850c completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:20 p.m.