Triple

T29720270
Position Surface form Disambiguated ID Type / Status
Subject Cut Him Up E752033 entity
Predicate hasLyricSource P4872 FINISHED
Object Lou Reed lyric notebooks
Lou Reed lyric notebooks are the personal handwritten collections in which musician Lou Reed drafted and developed the lyrics for many of his songs.
 E1882726 NE FINISHED

How this triple was built (3 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: Lou Reed lyric notebooks | Statement: [Cut Him Up, hasLyricSource, Lou Reed lyric notebooks]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lou Reed lyric notebooks
Triple: [Cut Him Up, hasLyricSource, Lou Reed lyric notebooks]
Generated description
Lou Reed lyric notebooks are the personal handwritten collections in which musician Lou Reed drafted and developed the lyrics for many of his songs.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasLyricSource
Context triple: [Cut Him Up, hasLyricSource, Lou Reed lyric notebooks]
  • A. hasLyricsSource chosen
    Indicates that one entity serves as the source or origin of the lyrics associated with another entity.
  • B. hasLyric
    Indicates that one entity (typically a musical work or track) contains or is associated with the lyrics provided by another entity.
  • C. hasLyricsFeature
    Indicates that something possesses a particular characteristic or attribute related to its lyrics.
  • D. hasLyricsIn
    Indicates that the lyrics of a work are written or available in a specified language.
  • E. lyricalSourceStatus
    Indicates the status or condition of a source from which lyrics are obtained or derived.
  • F. None of above.

Provenance (6 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_69f0d628c00c8190ab5ee7e423d7ec3c completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f672fa276881908992aa8271ec91be completed May 2, 2026, 9:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26aa7c6d588190be4b051b288ef0d2 completed June 8, 2026, 11:41 a.m.
NEDg Description generation batch_6a26b0582c708190938ca701d8851333 completed June 8, 2026, 12:06 p.m.
NED2 Entity disambiguation (via description) batch_6a26bbd97f988190a8542548278aa52a completed June 8, 2026, 12:55 p.m.
PD Predicate disambiguation batch_69f66ac1a4fc81909740d2e52fbe6970 completed May 2, 2026, 9:21 p.m.
Created at: April 28, 2026, 7:36 p.m.