Triple
T12624205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manon |
E301467
|
entity |
| Predicate | musicSourceType |
P55644
|
FINISHED |
| Object | existing music by Jules Massenet |
—
|
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: existing music by Jules Massenet | Statement: [Manon, musicSourceType, existing music by Jules Massenet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicSourceType Context triple: [Manon, musicSourceType, existing music by Jules Massenet]
-
A.
musicSource
chosen
Indicates that one entity serves as the origin or provider of music for another entity or context.
-
B.
musicBy
Indicates that a piece of music, performance, or recording is created, composed, or performed by a specified musical artist or group.
-
C.
musicForGenre
Indicates that something (such as a piece, track, or work) is intended to be used as or associated with music belonging to a particular genre.
-
D.
musicMood
Indicates the emotional tone or atmosphere conveyed by a piece of music or musical performance.
-
E.
songType
Indicates the specific category or genre that a given song belongs to.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69d960b195108190ac25bd95e644ace4 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:14 p.m.