Triple
T22766705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Old Kentucky Home |
E563144
|
entity |
| Predicate | originalLyricsContained |
P149654
|
FINISHED |
| Object | racially offensive language |
—
|
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: racially offensive language | Statement: [My Old Kentucky Home, originalLyricsContained, racially offensive language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalLyricsContained Context triple: [My Old Kentucky Home, originalLyricsContained, racially offensive language]
-
A.
hasOriginalLyricist
Indicates that an entity (such as a musical or song) is associated with the person who first wrote its lyrics.
-
B.
hasLyricsIn
Indicates that the lyrics of a work are written or available in a specified language.
-
C.
containsOriginalSongs
Indicates that one entity includes or features songs that are original compositions rather than covers or adaptations.
-
D.
originalSong
Indicates that one entity is the source or initial version of a song from which another entity (such as a cover, remix, or adaptation) is derived.
-
E.
hasLyric
Indicates that one entity (typically a musical work or track) contains or is associated with the lyrics provided by another entity.
- F. None of above. chosen
Provenance (4 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a80e2688190b76844c408929d32 |
completed | April 29, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69eed2b88d88819096015deb6a648801 |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb5681f88190821129ced752f190 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:26 p.m.