Triple
T29720270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cut Him Up |
E752033
|
entity |
| Predicate | hasLyricSource |
P4872
|
FINISHED |
| Object | Lou Reed lyric notebooks |
—
|
NE NERFINISHED |
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: Lou Reed lyric notebooks | Statement: [Cut Him Up, hasLyricSource, Lou Reed lyric notebooks]
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 (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_69f0d628c00c8190ab5ee7e423d7ec3c |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f672fa276881908992aa8271ec91be |
completed | May 2, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 7:36 p.m.