Triple
T975530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | When the Saints Go Marching In |
E21043
|
entity |
| Predicate | associatedWithGenreScene |
P22737
|
FINISHED |
| Object | New Orleans jazz |
—
|
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: New Orleans jazz | Statement: [When the Saints Go Marching In, associatedWithGenreScene, New Orleans jazz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithGenreScene Context triple: [When the Saints Go Marching In, associatedWithGenreScene, New Orleans jazz]
-
A.
influencedByGenre
Indicates that something’s characteristics, style, or development are shaped or affected by a particular genre.
-
B.
genreOfAppearance
Indicates the genre or type of creative work in which an entity appears.
-
C.
workedOnGenre
Indicates that an entity (such as a person or organization) has done work related to a particular genre.
-
D.
hasGenreStrength
Indicates that something possesses a particular intensity or degree of emphasis associated with a specific genre.
-
E.
genreFeatures
Indicates that a particular genre is characterized or defined by certain features or attributes.
- 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_69a493c2b62c8190b616351789ec47f8 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b46234c88190b2bfc9cafe59d7f7 |
completed | March 1, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a6aa2c8190aebba71320ab678f |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b38630848190bd3898a4f42018ad |
completed | March 1, 2026, 9:45 p.m. |
Created at: March 1, 2026, 7:40 p.m.