Triple
T21151441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LWV 49 |
E521197
|
entity |
| Predicate | primaryPerformanceMedium |
P143077
|
FINISHED |
| Object | voices and orchestra |
—
|
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: voices and orchestra | Statement: [LWV 49, primaryPerformanceMedium, voices and orchestra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryPerformanceMedium Context triple: [LWV 49, primaryPerformanceMedium, voices and orchestra]
-
A.
primaryMedium
Indicates the main material, format, or channel through which something is created, expressed, or communicated.
-
B.
primaryMediaType
Indicates the main or dominant type of media associated with an entity (for example, image, video, audio, or text).
-
C.
primaryBroadcastMedium
Indicates the main communication channel or platform through which something (such as content, information, or a message) is originally transmitted or distributed.
-
D.
primaryMediumOfDepiction
Indicates that a specified medium (such as painting, sculpture, or photography) is the main form through which an entity is depicted.
-
E.
firstPerformanceMedium
Indicates the medium or format (e.g., stage, radio, television) in which a work was first performed.
- 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_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72401830c8190a2008c40c4174d97 |
completed | April 21, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69e5f5f8a5bc819081918c7fa8e4496d |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5f993240c8190847c0b08e65726c8 |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 2:58 p.m.