Triple
T15415860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Those Gurlz |
E369226
|
entity |
| Predicate | featuresLyrics |
P104602
|
FINISHED |
| Object | playful lyrics |
—
|
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: playful lyrics | Statement: [Those Gurlz, featuresLyrics, playful lyrics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresLyrics Context triple: [Those Gurlz, featuresLyrics, playful lyrics]
-
A.
featuresIntrospectiveLyrics
Indicates that the subject contains lyrics characterized by self-reflection, inner thought, or personal emotional examination.
-
B.
hasLyricsFeature
chosen
Indicates that something possesses a particular characteristic or attribute related to its lyrics.
-
C.
lyricFocus
Indicates that the primary emphasis or subject of the lyrics is centered on a particular entity or theme.
-
D.
featuresSongwriter
Indicates that a musical work includes or credits a particular person as its songwriter.
-
E.
lyricsBy
Indicates that the lyrics of a song or musical work were written or authored by a specified person or 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ea8a8a081909749db1b29d85fcc |
completed | April 16, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69ded27f45548190a6d2b1b85cb47444 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:20 a.m.