Triple
T607140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chant de guerre pour l’Armée du Rhin |
E12018
|
entity |
| Predicate | intendedEnsemble |
P17036
|
FINISHED |
| Object | solo voice |
—
|
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: solo voice | Statement: [Chant de guerre pour l’Armée du Rhin, intendedEnsemble, solo voice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedEnsemble Context triple: [Chant de guerre pour l’Armée du Rhin, intendedEnsemble, solo voice]
-
A.
usesInterpretiveStaff
Indicates that an entity relies on interpretive staff (such as guides, educators, or docents) to convey information, context, or explanations about something to an audience.
-
B.
performedWithOrchestra
Indicates that a performance or musical work was carried out in collaboration with an orchestra.
-
C.
hasMelody
Indicates that one entity possesses, contains, or is characterized by a particular melody.
-
D.
musicFusionOf
Indicates a relationship where one musical work, style, or element is created by combining or blending two or more distinct musical sources or genres.
-
E.
hasMusicalForm
Indicates that one entity (typically a musical work or piece) is characterized by or structured according to a particular musical form.
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49df34abc8190a578c8c2ab3d28e4 |
completed | March 1, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69a49cf8fc1c81908a9c7df552aa1a59 |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49def31ec81909dc53e70f4a36eda |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:35 p.m.