Triple
T5656368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Man with the Golden Arm |
E124627
|
entity |
| Predicate | hasMusicGenreElement |
P44121
|
FINISHED |
| Object | jazz score |
—
|
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: jazz score | Statement: [The Man with the Golden Arm, hasMusicGenreElement, jazz score]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicGenreElement Context triple: [The Man with the Golden Arm, hasMusicGenreElement, jazz score]
-
A.
hasMainGenre
Indicates that an entity’s primary or most characteristic genre is the specified genre.
-
B.
hasMusicCharacteristic
chosen
Indicates that an entity possesses a specific musical feature, quality, or attribute.
-
C.
hasArtistGenre
Indicates that an artist is associated with or categorized under a particular musical or artistic genre.
-
D.
hasMusical
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
-
E.
hasCommonMusic
Indicates that two entities share at least one piece of music preference, interest, or item in common.
- 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_69c0082774a481909d7e63fb2aad56ac |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c0236d3f94819095111c41a323612d |
completed | March 22, 2026, 5:14 p.m. |
| PD | Predicate disambiguation | batch_69c021ba4ec481909db8cdbf0e907dd6 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:42 p.m.