Triple
T23246863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Missa Aeterna Christi Munera |
E581604
|
entity |
| Predicate | parodyOrParaphraseMass |
P140674
|
FINISHED |
| Object | paraphrase Mass |
—
|
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: paraphrase Mass | Statement: [Missa Aeterna Christi Munera, parodyOrParaphraseMass, paraphrase Mass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parodyOrParaphraseMass Context triple: [Missa Aeterna Christi Munera, parodyOrParaphraseMass, paraphrase Mass]
-
A.
parodies
Indicates that one entity imitates another in an exaggerated or humorous way, often to criticize or comment on the original.
-
B.
isParaphraseOf
chosen
Indicates that one expression conveys essentially the same meaning as another, typically through different wording or structure.
-
C.
hasHumorousTreatmentOf
Indicates that one entity presents or portrays another entity in a humorous, comedic, or joking manner.
-
D.
originalSongwriterParodied
Indicates that one entity is the songwriter of an original song that is parodied by another entity.
-
E.
originalHitPerformerParodied
Indicates that the subject is the original performer of a hit work that is being parodied by the object.
- 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.