Triple

T16498121
Position Surface form Disambiguated ID Type / Status
Subject Hash Pipe E400735 entity
Predicate hasControversialLyrics P123781 FINISHED
Object yes 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: yes | Statement: [Hash Pipe, hasControversialLyrics, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasControversialLyrics
Context triple: [Hash Pipe, hasControversialLyrics, yes]
  • A. hasLyricsMentioning
    Indicates that the referenced lyrics explicitly mention or refer to the specified entity.
  • B. hasLyricsIn
    Indicates that the lyrics of a work are written or available in a specified language.
  • C. lyricalOpposition
    Indicates a relationship where one entity expresses disagreement, critique, or resistance toward another through lyrics or musical text.
  • D. hasLyric
    Indicates that one entity (typically a musical work or track) contains or is associated with the lyrics provided by another entity.
  • E. hasUnofficialLyrics
    Indicates that an entity is associated with lyrics that are not officially authorized or recognized by the original creator or rights holder.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e3505f48190a6891a5f29377212 completed April 18, 2026, 7:09 a.m.
PD Predicate disambiguation batch_69e296902d6c8190884ddb612b8c5b36 completed April 17, 2026, 8:22 p.m.
PDg Predicate description generation batch_69e2d7f97e548190a474691a152bd8e8 completed April 18, 2026, 1:01 a.m.
Created at: April 10, 2026, 5:14 a.m.