Triple
T25069506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mignon |
E627869
|
entity |
| Predicate | philineVoiceType |
P2000
|
FINISHED |
| Object | coloratura 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: coloratura soprano | Statement: [Mignon, philineVoiceType, coloratura soprano]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: philineVoiceType Context triple: [Mignon, philineVoiceType, coloratura soprano]
-
A.
voiceType
chosen
Indicates the specific vocal style, quality, or role associated with an entity’s voice in a given context.
-
B.
voiceTypeOfMarcel
Indicates that the specified voice type is the one associated with Marcel.
-
C.
voiceTypeOfAmelia
Indicates the specific type or characteristic of voice associated with Amelia.
-
D.
voiceTypeOfUlrica
Indicates that the specified voice type is the vocal classification associated with the character Ulrica.
-
E.
voiceTypeOfValentine
Indicates that one entity is the type or style of voice associated with a Valentine-related expression or message of another entity.
- 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_69e2ff2d71dc8190b4758e57d643cbe4 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f45d1207f48190899c35231bec98b2 |
completed | May 1, 2026, 7:58 a.m. |
| PD | Predicate disambiguation | batch_69f442c861188190967655c6d8012380 |
completed | May 1, 2026, 6:06 a.m. |
Created at: April 18, 2026, 6:10 a.m.