Triple
T23246885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Missa Aeterna Christi Munera |
E581604
|
entity |
| Predicate | voicingDetail |
P29850
|
FINISHED |
| Object | typically four-part writing |
—
|
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: typically four-part writing | Statement: [Missa Aeterna Christi Munera, voicingDetail, typically four-part writing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voicingDetail Context triple: [Missa Aeterna Christi Munera, voicingDetail, typically four-part writing]
-
A.
hasVoicing
Indicates that one sound, segment, or phoneme is characterized by the presence or absence of vocal fold vibration (voicing) in relation to another or to a specified voicing property.
-
B.
vocalizationCharacteristic
chosen
Indicates how an entity’s vocal sounds are characterized, such as their quality, style, or distinctive acoustic features.
-
C.
vocalizationMethod
Indicates the manner or technique by which an entity produces a sound or vocal expression.
-
D.
vocalization
Indicates the act or manner of producing sounds or calls, typically as a means of communication.
-
E.
voiceAppearance
Indicates that one entity’s voice is present, heard, or featured in association with another entity (such as a work, scene, or medium).
- 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f193f1e8448190b8420a8dc6e24576 |
completed | April 29, 2026, 5:15 a.m. |
| PD | Predicate disambiguation | batch_69effce4d704819092826931d430e8c4 |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:10 p.m.