Triple

T18148046
Position Surface form Disambiguated ID Type / Status
Subject Come Undone E434436 entity
Predicate hasMusicVideoCharacteristic P130636 FINISHED
Object controversial LITERAL 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: controversial | Statement: [Come Undone, hasMusicVideoCharacteristic, controversial]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMusicVideoCharacteristic
Context triple: [Come Undone, hasMusicVideoCharacteristic, controversial]
  • A. hasMusicVideo
    Indicates that a piece of media (typically a song) is associated with or accompanied by a music video.
  • B. hasMusicVideoPerformer
    Indicates that a music video features a specific performer appearing or performing in it.
  • C. hasViralMusicVideo
    Indicates that an entity possesses or is associated with a music video that has achieved viral popularity or widespread online circulation.
  • D. musicVideoCameo
    Indicates that one entity makes a brief or special-appearance role in the other entity’s music video.
  • E. musicVideoFor
    Indicates that one entity is a music video created to accompany, represent, or promote another entity, typically a song or musical work.
  • F. None of above. chosen

Provenance (4 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de360ae88190abe1ed13243e9924 completed April 19, 2026, 1:52 p.m.
PD Predicate disambiguation batch_69e43317d11c81908d1dc14921566b47 completed April 19, 2026, 1:42 a.m.
PDg Predicate description generation batch_69e438f5ae2c8190b11dee46534fa5a9 completed April 19, 2026, 2:07 a.m.
Created at: April 10, 2026, 10:29 a.m.