Triple
T23877260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I: Exaudi orationem meam, Domine |
E592901
|
entity |
| Predicate | isFrequentlyRecordedWith |
P31723
|
FINISHED |
| Object | Symphony of Psalms |
—
|
NE NERFINISHED |
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: Symphony of Psalms | Statement: [I: Exaudi orationem meam, Domine, isFrequentlyRecordedWith, Symphony of Psalms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFrequentlyRecordedWith Context triple: [I: Exaudi orationem meam, Domine, isFrequentlyRecordedWith, Symphony of Psalms]
-
A.
isFrequentlyRecorded
Indicates that an entity is captured or documented many times within a given dataset, medium, or context.
-
B.
isOftenRecordedWith
chosen
Indicates that one entity is frequently documented, captured, or logged at the same time as another entity.
-
C.
frequentlyRecordedBy
Indicates that an entity is often documented, captured, or logged by a particular agent, system, or recording process.
-
D.
isFrequentlyRecordedLive
Indicates that the subject is often captured or documented in live recordings, such as live performances, broadcasts, or real-time sessions.
-
E.
isFrequentlyRecordedSinceDecade
Indicates that an entity has been commonly or regularly recorded starting from a specified decade.
- 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_69e25d23a5c88190ae3999c70ca15e08 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1cc02277c8190b0c15d6525f3b38d |
completed | April 29, 2026, 9:14 a.m. |
| PD | Predicate disambiguation | batch_69f1614a65a88190bde1efb368a151e4 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:15 p.m.