Triple

T13601165
Position Surface form Disambiguated ID Type / Status
Subject Forget You E324943 entity
Predicate hasRadioFriendlyLyrics P104602 FINISHED
Object true 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: true | Statement: [Forget You, hasRadioFriendlyLyrics, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRadioFriendlyLyrics
Context triple: [Forget You, hasRadioFriendlyLyrics, true]
  • A. hasLyric
    Indicates that one entity (typically a musical work or track) contains or is associated with the lyrics provided by another entity.
  • B. hasLyricsFeature chosen
    Indicates that something possesses a particular characteristic or attribute related to its lyrics.
  • C. hasExplicitLyrics
    Indicates that the referenced content contains explicit language or themes, such as profanity, sexual content, or strong violence.
  • D. hasLyricsIn
    Indicates that the lyrics of a work are written or available in a specified language.
  • E. hasOfficialLyrics
    Indicates that an entity (such as a song or musical work) has lyrics that are formally recognized or authorized as the official version.
  • F. None of above.

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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07ad3f48190a2173e42c5cfedb1 completed April 12, 2026, 2:47 p.m.
PD Predicate disambiguation batch_69dbae18eaf48190809e8b365856cde9 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:49 p.m.