Triple
T20742266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Trulove |
E510470
|
entity |
| Predicate | requiresVocalSkills |
P40358
|
FINISHED |
| Object | coloratura passages |
—
|
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 passages | Statement: [Anne Trulove, requiresVocalSkills, coloratura passages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresVocalSkills Context triple: [Anne Trulove, requiresVocalSkills, coloratura passages]
-
A.
vocalRequirement
chosen
Indicates that a particular action, role, or participation involves a specified need or condition related to vocal use, such as speaking or singing.
-
B.
hasMusicalVocalType
Indicates that an entity is associated with a specific type or classification of singing voice.
-
C.
vocalTraining
Indicates that one entity provides or engages in training aimed at improving another entity’s vocal or singing abilities.
-
D.
hasVocals
Indicates that the subject includes or features vocal elements, such as singing or spoken voice, rather than being purely instrumental or non-vocal.
-
E.
hasNotableVocalType
Indicates that an entity is associated with a specific, noteworthy type or quality of vocalization or voice.
- 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_69e0b4c845e88190b4c5f3ae79291182 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c20f9670819082199de21a8d9818 |
completed | April 21, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69e5c0509608819080cdbf47fcddfe36 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:33 p.m.