Triple
T21949760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allez-Vous-En, Go Away |
E542032
|
entity |
| Predicate | hasMusicGenreContext |
P33180
|
FINISHED |
| Object | Broadway musical |
—
|
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: Broadway musical | Statement: [Allez-Vous-En, Go Away, hasMusicGenreContext, Broadway musical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicGenreContext Context triple: [Allez-Vous-En, Go Away, hasMusicGenreContext, Broadway musical]
-
A.
hasMusicCategory
Indicates that something is associated with, classified under, or belongs to a particular category or type of music.
-
B.
hasTargetArtistGenre
Indicates that an entity (such as a campaign, recommendation, or product) is aimed at or associated with a specific music artist genre as its intended target.
-
C.
hasMainGenre
Indicates that an entity’s primary or most characteristic genre is the specified genre.
-
D.
styleOfMusic
chosen
Indicates the musical genre or stylistic category that characterizes a piece of music, artist, or performance.
-
E.
musicGenrePreferred
Indicates that an entity has a liking for or favors a particular music genre over 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1243aed048190b4342899c83b38ec |
completed | April 28, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69e6f601f2188190893bcdde0cf58ad6 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 7:58 p.m.