Triple
T6435813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O Cameroon, Cradle of Our Forefathers |
E129890
|
entity |
| Predicate | lyricsEmphasize |
P25938
|
FINISHED |
| Object | loyalty to Cameroon |
—
|
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: loyalty to Cameroon | Statement: [O Cameroon, Cradle of Our Forefathers, lyricsEmphasize, loyalty to Cameroon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lyricsEmphasize Context triple: [O Cameroon, Cradle of Our Forefathers, lyricsEmphasize, loyalty to Cameroon]
-
A.
lyricFocus
chosen
Indicates that the primary emphasis or subject of the lyrics is centered on a particular entity or theme.
-
B.
lyricSetting
Indicates that one entity serves as the text or lyrics that are set to music or otherwise musically realized by another entity.
-
C.
lyricalPhrase
Indicates that one entity is a lyrical phrase or line that is part of, derived from, or associated with another entity such as a song, poem, or musical work.
-
D.
hasLyricsTone
Indicates the tonal quality or emotional character expressed by the lyrics of a piece of music.
-
E.
hasEmphasis
Indicates that one element is given special stress, importance, or prominence relative to others.
- 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_69c0084caac48190a7bc2ad8ba44536f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c069622eb881908b40fc8079d312d6 |
completed | March 22, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69c060f96980819091bab9335922a457 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:45 p.m.