Triple
T5348768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How About You? |
E124119
|
entity |
| Predicate | notableLyricMotif |
P25938
|
FINISHED |
| Object | personal likes and dislikes in love and life |
—
|
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: personal likes and dislikes in love and life | Statement: [How About You?, notableLyricMotif, personal likes and dislikes in love and life]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableLyricMotif Context triple: [How About You?, notableLyricMotif, personal likes and dislikes in love and life]
-
A.
notableLyricReference
Indicates that one entity contains a significant or well-known reference to the lyrics of another entity (such as a song or musical work).
-
B.
notableSongCharacteristic
Indicates that a song is distinguished by a particular notable feature or quality, such as style, structure, or performance trait.
-
C.
notableLyricist
Indicates that the subject is a lyricist who is particularly distinguished or well-known for their work.
-
D.
lyricFocus
chosen
Indicates that the primary emphasis or subject of the lyrics is centered on a particular entity or theme.
-
E.
lyricReference
Indicates that one entity (typically a work or text) contains or makes a reference to the lyrics of another entity.
- 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_69bd464be27081908807b40b75c1bbae |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd860ea7088190ad7be14132927d17 |
completed | March 20, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69bd845c6f108190832a8d14b356368a |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:01 p.m.