Triple
T32981124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WWV 63 |
E843800
|
entity |
| Predicate | voiceTypeOfSenta |
P180457
|
FINISHED |
| Object | dramatic soprano |
—
|
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: dramatic soprano | Statement: [WWV 63, voiceTypeOfSenta, dramatic soprano]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voiceTypeOfSenta Context triple: [WWV 63, voiceTypeOfSenta, dramatic soprano]
-
A.
voiceType
Indicates the specific vocal style, quality, or role associated with an entity’s voice in a given context.
-
B.
voiceTypeOfUlrica
Indicates that the specified voice type is the vocal classification associated with the character Ulrica.
-
C.
voiceTypeOfMarcel
Indicates that the specified voice type is the one associated with Marcel.
-
D.
voiceTypeOfAmelia
Indicates the specific type or characteristic of voice associated with Amelia.
-
E.
voiceCharacter
Indicates that one entity provides the voice for, or vocally portrays, a particular character in a work.
- 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_69f3494c6f9c8190a255409fce8b1d3b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f74062b9388190b30546cf700a825c |
completed | May 3, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69f73c802b848190b61a416b7488bd96 |
completed | May 3, 2026, 12:16 p.m. |
| PDg | Predicate description generation | batch_69f74061c440819080434155c2d60341 |
completed | May 3, 2026, 12:32 p.m. |
Created at: May 1, 2026, 1:22 a.m.