Triple
T21816052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rich Girl |
E538607
|
entity |
| Predicate | hasSubjectInLyrics |
P7609
|
FINISHED |
| Object | a wealthy man |
—
|
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: a wealthy man | Statement: [Rich Girl, hasSubjectInLyrics, a wealthy man]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubjectInLyrics Context triple: [Rich Girl, hasSubjectInLyrics, a wealthy man]
-
A.
hasLyricsIn
Indicates that the lyrics of a work are written or available in a specified language.
-
B.
hasLyricsMentioning
Indicates that the referenced lyrics explicitly mention or refer to the specified entity.
-
C.
hasLyricsTheme
chosen
Indicates that the lyrics of a work primarily concern or revolve around a specified theme or subject.
-
D.
hasLyric
Indicates that one entity (typically a musical work or track) contains or is associated with the lyrics provided by another entity.
-
E.
hasLyricalTheme
Indicates that one entity (typically a creative work) features or is characterized by a particular lyrical subject, topic, or theme.
- 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07ccac9f08190b835ee7a40ecf4c2 |
completed | April 28, 2026, 9:24 a.m. |
| PD | Predicate disambiguation | batch_69e6be815a108190be81d7c987d0c0d6 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:54 p.m.