Triple
T5455925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miserere (Lully) |
E122476
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Miserere |
E122476
|
NE 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: Miserere | Statement: [Miserere (Lully), hasTitle, Miserere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miserere Context triple: [Miserere (Lully), hasTitle, Miserere]
-
A.
Miserere
chosen
Miserere is a sacred choral composition by Jean-Baptiste Lully, reflecting the grand liturgical style of the French Baroque.
-
B.
Miserere
Miserere is a contemplative choral and orchestral composition by Arvo Pärt that exemplifies his minimalist, spiritually focused tintinnabuli style.
-
C.
Requiem
Requiem is a deeply expressive and harmonically rich choral work by English composer Herbert Howells, often regarded as one of his finest sacred compositions.
-
D.
Requiem
Requiem is a large-scale choral-orchestral work by American composer John Harbison that sets traditional Latin Requiem Mass texts in a contemporary classical style.
-
E.
Requiem
"Requiem" is an emotionally charged song from the Broadway musical *Dear Evan Hansen* that explores a family's struggle to grieve and remember a troubled loved one.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd46424248819085282ddf50a565f3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91eeb7ac8190bf2e02f7946bf2bf |
completed | March 20, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf41465c3c8190a58350f39d626e54 |
completed | March 22, 2026, 1:09 a.m. |
Created at: March 20, 2026, 2:08 p.m.