Triple
T22766659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Folks at Home |
E563143
|
entity |
| Predicate | containsDialectLyrics |
P9652
|
FINISHED |
| Object | African-American dialect caricature |
—
|
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: African-American dialect caricature | Statement: [Old Folks at Home, containsDialectLyrics, African-American dialect caricature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsDialectLyrics Context triple: [Old Folks at Home, containsDialectLyrics, African-American dialect caricature]
-
A.
hasLyricsIn
Indicates that the lyrics of a work are written or available in a specified language.
-
B.
containsDialogueStyleLyrics
Indicates that the work includes lyrics written in a dialogue style, where multiple voices or characters speak or interact within the text.
-
C.
hasLyric
Indicates that one entity (typically a musical work or track) contains or is associated with the lyrics provided by another entity.
-
D.
hasLyricalVariant
Indicates that one item has an alternative version that differs in its lyrics while remaining related to the original.
-
E.
hasLyricalStyle
chosen
Indicates that one entity possesses or is characterized by a particular lyrical style in relation to another entity or context.
- 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_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. |
Created at: April 17, 2026, 3:26 p.m.